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Murata showcases its latest industrial power and sensing portfolio, from predictive maintenance vibration sensors to compact DC-DC converters, PoE modules and data center supplies. The video walks through how these building blocks support robotics, medical devices and GPU servers by combining isolation, efficiency and protection features. More technical details on Murata’s DC-DC converter families are available at https://www.murata.com/products/power/nonisolated-dc-dc-converter

On the SPS Nuremberg 2025 show floor, the demo starts with a predictive maintenance setup where a small vibration sensor on a rotating shaft streams condition-monitoring data in real time. By analyzing vibration signatures and trends, engineers can detect bearing wear, imbalance or misalignment early instead of waiting for unplanned downtime. The same sensing know-how underpins Murata’s broader industrial IoT strategy, feeding edge gateways, dashboards and maintenance workflows that close the loop from raw data to actionable insight downstream.

The tour then covers communication and power modules for OT networks. PoE DC-DC modules deliver up to 72 W over Ethernet to cameras, access points and edge nodes, while non-isolated converters and quarter-brick modules cover motor drives and PLC backplanes. Ultra-thin charge-pump modules reach around 72 W at close to 97% peak efficiency in only 2.1 mm height to convert 48 V to a 12 V intermediate bus in datacenters and 5G infrastructure. In robotics, dedicated converters, motor-drive rails and gate-drive supplies are tuned for fast transients and thermal limits inside collaborative and humanoid robot platforms on the factory floor.

A key highlight is Murata’s focus on data center and GPU power delivery. The interview shows 3×5″ 600 W AC-DC units, larger AC-DC platforms with around 95% efficiency, and a 2 kW GPU power concept that uses dual 1 kW non-isolated converters and high-current point-of-load stages to bring 48 V down to around 1 V rails. This two-stage approach mirrors the industry move to 48 V racks with intermediate bus and local high-current regulators for accelerators, storage and networking equipment.

The conversation closes by zooming out to Murata’s wider catalog, from MLCCs and high-voltage resistors for medical and industrial equipment to RFID, wireless connectivity and sensor lines shipping at scale. Viewers get a compact overview of how Murata’s passive components, sensing devices and power modules interlock – from predictive maintenance at the edge to high-density power shelves in the data center – offering a coherent toolbox for modern industrial and compute power workflow.

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning: https://www.youtube.com/watch?v=U98RuxkFDYY

source https://www.youtube.com/watch?v=FmsR0QJYjIM

eNeural Technologies showcases eSL-Craft, a self-learning visual AI pipeline designed to keep edge models continuously up to date without manual retraining. Built on Advantech’s WA AIoT software platform and H-box edge systems, the service automates data collection, model retraining and deployment so inspection, logistics and robotics workloads can adapt to new conditions directly at the edge pipeline. https://www.eneural.ai/

At the core of the demo is eSL-Craft, a patented “adaptive self-learning” system that can refine object detection and segmentation models on real production data with minimal human labeling. It is part of eNeural’s broader AI-Craft toolchain, which combines automated annotation, model architecture optimization and quantization to shrink edge models while preserving accuracy and cutting AI time-to-market by as much as six times, particularly on NPU and embedded vision platforms using compact convolutional networks and mixed-precision training.

In this SPS 2025 demo at the Advantech booth in Nuremberg, a camera plus H-box edge GPU tracks pallets in a warehouse scenario and detects “corner cases” when new objects or packaging types appear. Instead of exporting raw video to the cloud, the system logs only the relevant samples, schedules on-device retraining on a zonal master node and pushes updated models back to the local inference devices, creating a closed loop between perception, data selection and continuous model refinement inside the factory line.

The architecture follows an edge-first and zone-based pattern: multiple cameras and NPU-powered clients handle real-time inference, while a GPU-equipped master node in each zone performs periodic retraining and then synchronizes only model weights with a central server. This resembles federated continual learning in industrial environments, keeping sensitive imagery on premises while still aggregating model improvements globally for robust multi-site deployment.

Looking ahead, the team discusses extending the same pipeline to mobile and humanoid robots that observe people and environments during the day, then retrain locally while charging at night to learn new faces, layouts and behaviors without exposing raw personal data. Today the heavy training runs on GPUs, with NPUs dedicated to low-latency inference, but the roadmap clearly targets broader use across smart factories, warehouses and service robotics, delivered as a combined Advantech hardware plus eNeural self-learning AI subscription for industrial customers.

source https://www.youtube.com/watch?v=JYkPcelILeQ

Finder shows how it is evolving from a relay specialist into a full control-cabinet and industrial automation partner, using its Opta micro PLC and 7M smart energy meters to connect classic switching hardware with data-driven control. The video walks through use cases such as lidar-based people detection, compact PLC control and cabinet-level power management, illustrating a path from simple relay logic to secure Industrial IoT architectures. https://opta.findernet.com/en/

At the center is the Opta PLC, co-developed with Arduino as a secure micro PLC based on a dual-core STM32H747 Arm Cortex-M7/M4 MCU and programmable both in C++/Arduino sketches and IEC 61131-3 languages like Ladder and Function Block Diagram. Offered in Ethernet, RS-485 and Wi-Fi/BLE variants, and expandable to dozens of I/Os, Opta can handle lidar distance sensing up to about two meters, machine control and edge data acquisition. A built-in crypto device enables authenticated, encrypted communications so the same hardware can scale from stand-alone logic control to connected PLC nodes.

Finder then positions its broader control-cabinet portfolio around Opta: interface and safety relays, DIN-rail power supplies from a few amps up to more than 40 A, and accessories for cabinet heating, ventilation and service lighting. A magnetic LED lamp that can run from the panel or on battery supports maintenance when cabinets are de-energized, and a range of panel sockets (Italian, French, US and both Swiss standards) lets panel builders export identical designs worldwide. Filmed at SPS 2025 in Nuremberg, the booth highlights this modular, export-ready cabinet platform.

Energy management is the second pillar. MID-certified 7M energy meters for single-phase and three-phase loads up to 80 A provide measurements that can be read and configured via NFC with the Finder Toolbox NFC smartphone app, even when the meter is not powered. Through Modbus or M-Bus these meters stream data into Opta, enabling dashboards that compare production, office consumption and EV charging, and supporting load-shedding or tariff-driven control. This metering layer is presented as a basis for Industry 5.0 incentives and ESG reporting, where verifiable energy data is becoming mandatory.

The interview closes on Finder’s ecosystem approach. Opta and the 7M/6M metering families are positioned as platforms for system integrators and OEMs, with Finder focusing on hardware, Arduino and IEC-61131-3 compatibility and cybersecurity features rather than vertical application software. A growing network of partners is expected to build sector-specific applications on top, from control panels to brownfield energy retrofits, using familiar cabinet components instead of proprietary black-box systems.

source https://www.youtube.com/watch?v=F1GLKf8LdxA

Xentara is a software-defined automation platform that replaces traditional hardware PLCs with a microservice-based realtime control layer running on standard industrial PCs. It allows engineers to implement deterministic control logic in C++ or Rust, run it on Linux with preempt-rt, and expose all process data via modern fieldbuses and open APIs, blending IT and OT in one control stack. https://xentara.io/

In this video, Xentara is shown powering a BenThor laser marking cell where a classic PLC has been completely removed and replaced by the software platform running on an Advantech IPC. The BENTHORcube concept focuses on compact, flexible laser systems for marking and engraving, and here Xentara provides the realtime execution environment, I/O handling and safety logic while the machine performs QR-code marking on small “business card” blanks. The demo is part of the joint Xentara, Advantech, Hilscher and BenThor presence at SPS 2025 in Nuremberg, illustrating how a standardized software layer can be reused across many different machine variants in one ecosystem.

Engineering is done with Xentara Workbench, where system integrators configure EtherCAT fieldbus, OPC UA server endpoints, semantic data models, timing and schedulers, and fine-grained access control lists in one environment. The semantic data layer allows the machine to be modeled as a digital representation with typed signals, states and relationships instead of ad-hoc tags, making it easier to plug that model into MES, cloud analytics or digital twin tools. Combined with secure OPC UA exposure of OT data to higher-level systems, the platform is designed to keep classic control loops deterministic while still fitting into a modern data-driven workflow.

On top of realtime control, Xentara is positioning itself as an IT-OT convergence layer ready for AI and agentic workloads. The team is working on an MCP (Model Context Protocol) interface so that large language models and other AI agents can safely access machine semantics and live data as standardized tools, while partners plug in their own ML models via ONNX and similar runtimes. This gives machine builders a path toward AI-assisted engineering, automated parameter optimization and natural-language interaction with production assets without turning the control platform itself into a monolithic AI product in the market.

The laser cell shown at the Advantech booth combines a JavaScript-based HMI, a robotics interface, websockets and the C++ control logic into one coherent microservice architecture orchestrated by Xentara. Operators simply insert a part, select a job and let the system execute a fully synchronized cycle that includes safety interlocks, motion, laser firing and QR-code generation, while the same architecture could be reused for cutting, molding or other processes. This makes the demo a concrete example of how software-defined automation, semantic modeling and early AI integration can be layered onto existing industrial hardware to evolve machines beyond the classic PLC-centric demo.

Xentara IT-OT convergence with Benthorcube laser cell, C++ and Rust control, MCP, OPC UA, EtherCAT
Xentara SPS laser marking cell with Advantech IPC, microservices PLC replacement, OPC UA, MCP, AI

source https://www.youtube.com/watch?v=AQ5A6WLQOBs

Handshake Public is a services and AI-enabled tendering partner for companies that want to sell to the public sector without building an in-house bid team. Instead of navigating fragmented portals, dense RFPs and strict EU public procurement rules alone, vendors outsource the full tender lifecycle: opportunity scouting, qualification, document preparation, submission and post-award administration. The business model is success-based: they prepare and manage bids across the EU and other markets, and clients only pay when a contract is actually won, with an initial “first win” offer for new customers. https://www.handshakepublic.com/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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In the interview, founder and CEO Andrew Fowler explains how Handshake Public targets the multi-trillion public procurement market where every purchase, from automotive fleets and medical devices to legal services and IT consulting, must go through regulated tendering. Their platform combines deal sourcing, competitive analysis, smart monitoring and price optimization to track open tenders across jurisdictions, map them to a client’s products and then handle the detailed response work. That includes drafting and assembling technical annexes, compliance matrices, qualification forms and commercial schedules so vendors can focus on delivery rather than bureaucracy.

Filmed at Web Summit Lisbon 2025, the discussion focuses on how this approach particularly benefits startups and SMEs with strong private-sector revenue but little or no public-sector track record. Handshake Public uses automated monitoring to scan public portals, then filters out tenders whose “weasel words” and eligibility clauses would exclude inexperienced suppliers, helping companies avoid wasting resources on unwinnable RFPs. For viable opportunities, they structure responses to align with EU procurement directives and local procedures while ensuring that every formal requirement, from CPV codes to mandatory certifications, is properly addressed.

Fowler also touches on the long-term nature of public contracts and why a pay-per-win model aligns incentives between the service provider and vendors. Many framework agreements and multi-year contracts demand ongoing communication with contracting authorities, including invoicing rules, reporting obligations and contract change notices; Handshake Public remains involved in this post-award administration as part of an end-to-end public sector sales channel. The result is a hybrid of consultancy and SaaS-enabled operations for companies that want EU and US public sector customers in their revenue mix without becoming procurement experts themselves.

I’m publishing about 90+ videos from Embedded World North America 2025, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Embedded World North America videos in my Embedded World playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning: https://www.youtube.com/watch?v=U98RuxkFDYY

source https://www.youtube.com/watch?v=ePeMx4mZq8Q

Rittal North America uses this booth tour to show why AI data centers and hyperscale GPU clusters depend on robust physical infrastructure, not just servers and software. The focus is on modular enclosures, Open Compute Project (OCP) racks, DC busbar power distribution and single-phase direct liquid cooling that can remove over one megawatt of thermal load from dense IT footprints, enabling deployment of large language model training and other compute-intensive workloads in production data infrastructure. https://www.rittal.com/com-en/products/Innovations/Direct-Liquid-Cooling

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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At the heart of the demo is Rittal’s rack-format Coolant Distribution Unit, a water-based direct-to-chip liquid cooling (DLC) system designed around OCP ORV3 form factors and GPU sleds. Each drawer is rated for roughly 250 kW of heat removal capacity, so operators can deploy 250, 500, 750 or 1 MW per row with an N+1 spare module for service and redundancy. Technology water circulates through supply and return manifolds to cold plates at the processor level, while facility water on the secondary loop carries that heat back toward chiller plants and external heat rejection equipment across the site.

The conversation dives into deployment topics such as growth planning, hydraulic design and power provisioning. A single megawatt CDU can require on the order of 400 gallons per minute of flow, so a 20 MW campus implies several thousand gallons per minute together with matching electrical distribution and grid capacity. Rittal stresses modularity so operators can start with a few OCP racks at 250 or 500 kW of cooling and scale out row by row as AI demand ramps instead of overbuilding a full megawatt cluster on day one.

Beyond direct-to-chip DLC, the video also covers Rittal Liquid Cooling Package (LCP) units that provide roughly 50–60 kW of air-to-water cooling for conventional 19-inch rack deployments. These in-row LCP systems pull hot exhaust air from standard server, storage and networking racks, pass it through coil heat exchangers and return chilled air to the IT aisle, making them suitable for mixed environments where traditional servers coexist with liquid-cooled OCP racks in the same white space. This flexibility lets operators handle both legacy and next-generation workloads in one coherent thermal architecture.

Filmed at Supercomputing 2025 in St Louis, the discussion closes on monitoring and control, with sensors, leak detection and networked logic that allow data center teams to manage coolant distribution and thermal headroom from a central operations console. Instead of simply moving water, the CDU and LCP systems dynamically allocate flow to the hottest cabinets, maintain redundancy at the pump level and support gradual migration from air cooling to liquid cooling as AI, HPC and cloud workloads continue to grow across the industry.

I’m publishing about 90+ videos from Embedded World North America 2025, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Embedded World North America videos in my Embedded World playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning: https://www.youtube.com/watch?v=U98RuxkFDYY

source https://www.youtube.com/watch?v=8Ssp1t-g_wM

Exor International and its software company Corvina show how they combine industrial HMIs, edge gateways and an industrial IoT cloud to digitalize factory operations and OEM machines. On a real test rig from Exor’s Verona factory, the MicroEdge gateway, XPLC soft PLC (IEC 61131-3) and Corvina platform control a display test line, collect data and expose everything through browser-based dashboards and JMobile visualizations. https://www.exorint.com/products/hardware/series/microedge

On the shopfloor side, an Exor HMI with an integrated camera runs an AI-based access-control and operator-tracking algorithm, performing face recognition and user role management directly at the industrial edge. The same HMI executes PLC logic via XPLC and Dockerized containers on the MicroEdge hardware, blending deterministic control with containerized IIoT workloads. This lets OEMs deploy human–machine interfaces, soft PLCs and AI workloads on ARM or Intel-based edge devices, depending on performance and application requirements on site.

Corvina’s X Platform then aggregates machine data into real-time and historical analytics, turning the test machine into a digital twin with KPIs such as OEE and energy consumption. No-code dashboards let engineers build cloud or edge visualizations using OPC UA, MQTT and database connectors, while AI helps generate after-sales documentation and support flows. Filmed at the SPS 2025 show in Nuremberg, the demo reflects how Corvina is used in smart manufacturing and smart machinery deployments worldwide.

Around the booth, Exor presents a hardware portfolio built on the same software stack: IP69 food-and-beverage HMIs for washdown environments, outdoor sunlight-readable displays, marine bridge panels, X5 wireless safety handhelds with SIL3-rated emergency functions, and rugged “field HMI” tablets with Wi-Fi, NFC and integrated cameras. Industrial PCs and open HMIs span ARM and x86 architectures, from MicroEdge Basic and MicroEdge Plus gateways up to x86-based eXware and eX200 “edge HMI” systems, all capable of running JMobile and acting as IIoT gateways for Corvina.

Cybersecurity and regulatory alignment are central: MicroEdge acts as a secure router and VPN & IIoT gateway, with firewalls, network segmentation and IEC 62443-ready architectures to help customers address CRA and NIS2 requirements. Through Corvina, fleets of machines can be patched and updated over-the-air, vulnerabilities (CVEs) tracked, and new applications rolled out at scale. Exor and Corvina organize their business around smart manufacturing and smart machinery segments, enabling factories and machine builders worldwide to move from pure hardware sales to data-driven services, remote monitoring and pay-per-use as a service offering.

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning: https://www.youtube.com/watch?v=U98RuxkFDYY

source https://www.youtube.com/watch?v=6A_qJjdB-eA

Chiahung Hung, Product Sales Manager for @AdvantechCorp Europe’s IoT Automation sector, explains how @Codesys-AutomationSoftware turns standard industrial PCs into flexible, software-defined controllers that break the traditional proprietary PLC lock-in. By running the CODESYS runtime on x86 or ARM-based IPCs, Advantech can offer “soft PLC” functionality across its AMAX and MX controller families, letting machine builders decouple application logic from specific hardware platforms and adopt an Android-like model for industrial control. This opens the door to using the same IEC 61131-3 project on multiple devices, from compact edge controllers to panel PCs, with lifecycle managed as software rather than as fixed hardware generations, and more details can be found on the Advantech website https://www.advantech.com/

At the heart of the demo is an AMAX-5570 Atom-based edge controller, shown driving third-party servo motors in tightly synchronized motion control. The platform is optimized for CODESYS with a 1 ms real-time environment, supporting up to 32-axis motion control with 500 µs EtherCAT cycle times under Linux, plus SoftMotion and CNC/robotics libraries for more complex kinematics. The classic “pencil on two spinning shafts” test illustrates deterministic behavior under high speed, showing that even an entry-level controller can handle precise multi-axis coordination while remaining cost-efficient in the field, which makes it attractive as a general-purpose automation setup.

Beyond this single controller, Hung positions AMAX and MX as a complete CODESYS-ready portfolio, including UNO box PCs and AMAX panel controllers that combine HMI and control in one device with web-based visualization. In the video, an AMAX panel unit runs CODESYS Web Visualization as an HMI, reading live data from the UNO controller and rendering dashboards directly in a browser-like interface, which simplifies deployment of machine and factory UIs. Recorded at SPS 2025 in Nuremberg, the setup reflects Advantech’s broader focus at the show on open automation, Edge AI-ready hardware, and IT/OT converged architectures built around software-defined control.

A key step this year is that Advantech’s CODESYS platforms no longer target only Windows; Linux runtimes are now supported across selected AMAX controllers, with more SKUs being qualified as “CODESYS Enabled” over time. This Linux support matters for customers standardizing on containerized edge workloads and long-term LTS distributions in OT environments, where they can align PLC workloads with other edge services running on the same hardware. Hung also points out that Advantech is working toward full EU Cyber Resilience Act readiness across its controller portfolio by 2026, addressing concerns from OEMs who worry that embedding a PC-class platform inside machines might increase the attack surface, by integrating secure boot, TPM, and CRA-aligned hardening as part of the standard device compliance.

For machine builders, system integrators, and OT engineers, the message is that automation is becoming a software-defined layer running on standardized compute, not a collection of closed PLC islands. With CODESYS as the common runtime, Advantech edge controllers can scale from Intel Atom-based AMAX-5570 V2 units up to Core-powered panel controllers such as AMAX-PT800, while offering industrial Ethernet and fieldbus connectivity via EtherCAT, PROFINET, Ethernet/IP, CANopen, OPC UA, and Modbus TCP/RTU for both motion and process applications. This gives factories and infrastructure operators a path to adopt newer edge computing and AI capabilities without discarding existing engineering practices, effectively treating the control layer as a portable software asset instead of a fixed hardware portfolio.

I’m publishing about 50+ videos from SPS Nuremberg 2025 check playlist https://www.youtube.com/playlist?list=PL7xXqJFxvYvgeW6Uf8MIlo7hpxuysbiCc I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST (from other recent events too)

source https://www.youtube.com/watch?v=K2_RghrbtG8

ctrlX OS from Bosch Rexroth is presented here running on Advantech’s UNO edge IPCs as an app-based automation platform built on a real-time capable Linux with Ubuntu Core and snap packages. The idea is “smartphone of automation”: you pick the industrial PC form factor you want from the UNO family, get a pre-validated OS image with core apps like firewall and VPN, and then extend it with your own apps from an ecosystem rather than rebuilding the stack each time. This gives OEMs, machine builders and IT/OT teams a consistent software base across very different hardware profiles. https://www.ctrlx-os.com/en/ctrlx-os/

In the demo, ctrlX WORKS shows both a Bosch Rexroth ctrlX CORE controller and an Advantech UNO device side by side, all managed through the same web UI and REST APIs. The platform is explicitly API-first: every setting exposed in the UI, from firewall rules to user management, can be scripted via REST, so one script can roll out configuration to a single device or to fleets of hundreds. Apps such as an IoT dashboard based on Grafana, Node-RED with OPC UA connectors and a Python runtime are installed, updated or removed with one click or via automated scripts, aligning industrial automation with DevOps practices.

A key concept is the ctrlX Data Layer, which acts as a structured, real-time namespace for everything the device knows: CPU metrics, field I/O, application state and custom variables. That data tree can be traversed, filtered and mirrored between devices so that one node can be the “hero” and others the “sidekicks,” all sharing a synchronized data model. This makes it easier to build distributed control and analytics topologies where edge IPCs, controllers and higher-level IT systems share a common view of the plant without custom glue code for each box.

For developers, ctrlX OS behaves like a modern software platform rather than a closed PLC. Bosch Rexroth provides an SDK, documentation and reference apps on GitHub, plus an app-development guideline so partners can package their own snaps that integrate cleanly with the OS, data layer and security model. The ctrlX OS Store then acts as a digital marketplace where OEMs, ISVs and integrators publish apps ranging from connectivity and security to HMI and AI, and customers can add them to any ctrlX OS-based device with standard licensing. Because the OS is hardware-independent and available as a virtual machine, the same app portfolio can span controllers, edge IPCs, HMIs and on-prem or cloud infrastructure.

Cybersecurity and regulation are central to the story. ctrlX OS is positioned as “secure by design” and “secure by default,” certified to IEC 62443-4-2 Security Level 2 and prepared for Europe’s Cyber Resilience Act, including a structured process for vulnerability management and security patch delivery during operation. Built-in functions such as certificate handling, role-based access with LDAP integration, encrypted backups and firewall/VPN apps aim to make it realistic for OT teams to maintain a secure posture over the full lifecycle without building their own Linux distribution.

Recorded at the Advantech booth during SPS – Smart Production Solutions in Nuremberg, the discussion also highlights the OEM partnership between Bosch Rexroth and Advantech: UNO edge IPCs ship from the factory with ctrlX OS and a curated set of apps, turning them into ready-to-use edge gateways and controllers that can then be tailored per project through additional apps and scripts. The commercial model is deliberately flexible: you buy hardware with a base OS image and partners can choose subscription or perpetual licensing per app, while integrators can bundle their own apps on top as part of full project deliveries. The result is a sector-agnostic platform for energy, manufacturing, infrastructure or any other domain where developers want to focus on domain logic and let an open industrial Linux handle real-time execution, fleet management and security.

source https://www.youtube.com/watch?v=2KuMPlkhvyU

Tesyda is a Prague-based SaaS startup building BESEGMA, an AI-powered predictive analytics platform that turns historical business data into forecasts for revenue, churn and customer behaviour. The platform combines machine learning models and behavioural segmentation to generate propensity scores, highlight high-value leads and surface risks across the customer lifecycle, all exposed through a business-friendly interface rather than raw data science tooling.

Besegma

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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In the demo, Monika shows how non-technical users can work with an embedded copilot inside BESEGMA: you describe what you want to predict, such as next year’s turnover or customer churn, and the system builds a model on top of your historical CRM, ERP or Excel/CSV data. Tesyda provides native connectors to common CRM systems and can add custom connectors, so data ingestion becomes a one-click part of the workflow rather than an IT project. Once trained on your own historical records, the platform outputs dashboards, graphs and exports to Excel that managers can plug directly into their planning workflow.

Beyond the interface, Tesyda emphasises data privacy and control. BESEGMA runs as a standalone cloud platform with in-house AI models, avoiding external AI APIs so that propensity models and prediction outputs never leave Tesyda’s controlled environment. The stack includes built-in encryption, data anonymisation and GDPR-compliant hosting, with a design where even Tesyda’s team cannot access raw customer data unless explicitly requested for support, which is important for regulated sectors such as pharmaceuticals and manufacturing.

Recorded at Web Summit Lisbon 2025, the conversation also touches on how the product emerged from Monika’s previous experience as CEO of a telecom and cloud software company, where large volumes of operational and sales data were collected but rarely converted into actionable forecasts. Tesyda’s team of roughly ten people, mostly developers, is now focused on extending BESEGMA’s copilot capabilities, adding more CRM and ERP integrations and refining the forecasting engine so that small and mid-sized companies can use the same techniques as larger data teams without needing in-house data scientists.

Commercially, BESEGMA is offered on a subscription basis, typically in the low hundreds of euros per month, with a built-in allowance of predictions and the option to top up usage when running more scenarios. Under the hood, the platform implements Behavioural Segmentation Analysis and custom propensity models tailored to each customer, helping users prioritise leads, shorten deal cycles and test what-if scenarios around churn or demand without pretending to be 100% certain about the future.

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Advantech’s European IoT leadership comes through clearly in this conversation with Jash Bansidhar, AVP of Industrial IoT sector for Advantech in Europe. The discussion frames Advantech as a global reference in industrial PCs (more than 40% market share) and industrial I/O, now extended with a broad stack that spans computing, communication, data acquisition and IoT software for edge-to-cloud integration, aligned with the corporate vision of “Enabling an Intelligent Planet.” The result is a hardware and software portfolio that lets OEMs, ISVs and integrators treat Advantech as a one-stop shop for modular, scalable industrial computing across many sectors. https://www.advantech.com/

A major focus in the video is next-generation control and I/O, where Advantech combines its own hardware heritage with key ecosystems such as CODESYS and Bosch Rexroth’s ctrlX OS. ctrlX OS brings Linux-based, app-centric automation with strong cybersecurity properties that map to the EU Cyber Resilience Act, while Advantech contributes UNO edge IPCs, industrial networking and I/O modules to build complete control architectures. The booth also highlights functional safety with virtualized controllers and safety I/O over PROFINET and EtherCAT, pointing toward PLC virtualization, app-based engineering and cyber-resilient plant architectures.

On top of the hardware, Advantech is pushing an IoT and edge software framework that connects OT devices to cloud-native AI pipelines. Their WISE-Edge / WISE-PaaS approach is about IT/OT convergence, normalizing data from controllers, gateways and IPCs and exposing it to AI developers through standardized APIs and SDKs. The wall of logos behind the interview—Intel, AMD, NVIDIA, NXP, Qualcomm, MediaTek, Rockchip and others—illustrates how the framework integrates silicon vendors’ AI stacks so ISVs can target different GPU and CPU platforms with a single architecture while experimenting with agentic AI workflows and agent builders for industrial use cases.

Jash also explains how Advantech organizes itself to support this at scale: local sales, technical and support teams in major European countries, complemented by channel and domain partners close to their customers, plus global R&D hubs in Taiwan, China and Europe. Vertical focus areas include manufacturing, energy and utilities, transportation, retail and healthcare, each with the necessary certifications such as IEC 61131 for PLCs and IEC 61850 for substations. Recorded at the SPS smart production show in Nuremberg, the interview situates Advantech within a wider ecosystem that includes Bosch Rexroth, SALZ Automation and others working on real-time data, predictive maintenance and connected factories.

The conversation closes on edge AI and physical AI, where Advantech is early to adopt NVIDIA Jetson Thor across products like the MIC-743 and dedicated robotics and medical AI platforms, delivering up to roughly 2,070 FP4 TFLOPS at the edge for perception, LLMs and multi-sensor fusion in compact systems. Combined with their automation, networking and IoT software stack, this positions Advantech to support emerging workloads such as humanoid robots on the factory floor, robotic cells, intelligent machines and distributed inferencing across brownfield and greenfield plants, all fed back into a joint silicon and system roadmap with key chip vendors for the coming years.

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Cerebras founder and chief architect Michael James walks through the CS-3 system and its wafer-scale engine, a single 300 mm die integrating around a million AI-optimized compute cores on one piece of silicon. Built in 5 nm with roughly 4 trillion transistors, WSE-3 delivers on-chip memory, interconnect and compute in one monolithic device, targeting high-throughput AI inference and data-intensive HPC workloads in a compact rack-scale node. https://www.cerebras.ai/chip

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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He explains the extreme power-delivery and packaging needed to run this chip at roughly 25 kW: front-side AC/DC modules, 3D power distribution and dense arrays of regulators positioned close to the wafer to manage around 30,000 amps of current. Because all compute and 44 GB of SRAM sit on a single wafer, the system minimizes off-chip traffic and uses control logic that smooths power ramps with dummy operations when workloads switch off, avoiding destructive current spikes while preserving energy efficiency.

On the architecture side, James describes the WSE-3 as a proprietary dataflow processor designed for strong scaling. Loop induction variables, data movement and network behavior are encoded directly into the instruction set, so a single matrix operation can be spread spatially across the full grid of cores with minimal software overhead. That allows Cerebras to map full transformer layers over the wafer and reach very high inference throughput, with customers reporting large speedups over Nvidia GPU clusters on latency-sensitive language-model serving.

The discussion then shifts to real workloads, including a global shallow-water-equation simulation of an asteroid impact off California, run at about 200 m resolution over the entire planet. By exploiting the dense on-wafer memory and mesh interconnect, a cluster of CS-3 nodes achieved exascale-class performance for this tsunami scenario at a fraction of the power draw of traditional exascale systems, while still supporting large language models such as Llama and DeepSeek on the same architecture.

Filmed at Supercomputing 2025 in St Louis, the interview also touches on manufacturing yield and roadmap. Cerebras overprovisions identical cores across the wafer and then uses automated defect mapping plus constraint solving to reroute communication around faulty regions, guaranteeing at least 900,000 working cores per device and turning the rest into pass-through fabric. James hints that future generations will continue this wafer-scale path, pushing AI inference and physics-based HPC further by co-designing architecture, packaging and dataflow software as a single system.

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Supermicro uses this SC25 booth tour to show how its AI and HPC servers scale from NVIDIA HGX B300 Blackwell Ultra clusters to RTX PRO 6000 Blackwell Server Edition MGX systems and fully integrated liquid-cooled racks for enterprise AI factories and research data centers. The focus is on how 288GB HBM3e per GPU, 800Gb/s integrated networking and rack-scale thermal design let operators run large language models and high-density training or inference more efficiently than previous infrastructure. https://www.supermicro.com/en/accelerators/nvidia

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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On the Blackwell HGX side, Philip Tamaki walks through Supermicro’s multi-form-factor HGX B300 platforms, where eight B300 GPUs provide up to 2.3TB of HBM3e and are coupled with integrated ConnectX-8 SuperNICs that expose 800Gb/s OSFP ports per node, reducing earlier PCIe bottlenecks. Air-cooled and direct-liquid-cooled variants balance rack power density with CPU options such as AMD EPYC 9005 or Intel Xeon 6700, so clusters can be tuned to specific AI training or simulation workloads in practice.

The conversation then shifts to PCIe GPUs, where the NVIDIA RTX PRO 6000 Blackwell Server Edition with 96GB of GDDR7 and around 1.6TB/s of memory bandwidth makes PCIe-based servers attractive again for enterprise inference, retrieval-augmented generation and model serving. Supermicro is rolling out a broad portfolio of RTX PRO 6000 systems, including 4U MGX dual-root designs and compact edge nodes, so many production LLMs in the tens-of-billions of parameters can fit on a single GPU while additional GPUs handle vector search, orchestration and data processing.

At rack scale, the video highlights Supermicro’s NVIDIA GB300 NVL72 system, which combines 72 Blackwell GPUs and 36 Grace CPUs in a 48U rack with direct liquid cooling and NVLink domains up to 1.8TB/s, enabling very high AI performance in a single rack footprint. This ties into Supermicro’s Data Center Building Block Solutions strategy: pre-validated racks with in-rack cooling distribution units, vertical and horizontal manifolds, rear-door heat exchangers and sidecar CDUs that can dissipate 50–200kW of heat without requiring entirely new building infrastructure.

Finally, filmed at Supercomputing 2025 in St. Louis, the tour steps behind the cabinets to look at mock-up and real-world cooling towers, including the liquid-cooling tower deployed at Supermicro’s San Jose campus to validate closed-loop operation with production workloads. Alongside partner sessions from NVIDIA, AMD, Intel and software-defined storage vendors, the booth shows how Supermicro is positioning itself as a leading supplier of AI and HPC infrastructure by shipping complete Blackwell-era racks that shorten time-to-online for demanding customers.

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Seagate’s Exos 4U100 JBOD enclosure shown here is essentially a 4U storage brick that packs up to 100 Mozaic HAMR hard drives, reaching 3.2 petabytes in a single tray when populated with 32TB disks. It targets AI backends, data lakes and large backup repositories where cost per terabyte, rack density and power per petabyte really matter. https://www.seagate.com/products/storage/data-storage-systems/jbod/exos-4u74-and-4u100/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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Torsten Konrad explains how the enclosure is engineered around power and cooling rather than just raw drive count. Front-to-back airflow is guided through the main chamber and also under the drive plane so every slot receives fresh air, yielding up to 70% better thermal efficiency and around 30% lower power than legacy enclosures. The system uses SAS-4 (24G SAS), delivering up to 24 GB/s aggregate bandwidth while still letting you treat it as a simple, high-density JBOD from the host point of view.

Filmed at Supercomputing 2025 (SC25) in St. Louis, the video also dives into practical deployment details that matter to data center operators. The Exos 4U100 is available in 1.0 m and 1.2 m chassis depths to match different rack standards, with internal rails so the whole unit slides onto a shelf without fiddly rail alignment. Internal cable management keeps SAS cabling inside the rack envelope, and because the system uses built-in carriers you can slot bare 3.5″ drives directly without extra hardware, simplifying service and drive swaps.

Logically it’s “just a bunch of disks,” but in modern architectures the JBOD becomes the capacity tier behind software-defined storage running on front-end servers. Erasure coding or RAID lives in the software layer, while this enclosure focuses on density, airflow, vibration damping and predictable thermals for 100 spinning disks. For AI workloads the first tier is typically HBM and NVMe flash feeding GPUs, with HDD-based tiers like Exos 4U100 holding cold and warm data, training corpora, model checkpoints and long-term logs at roughly one-fifth the cost per terabyte of flash.

Seagate’s Mozaic HAMR roadmap pushes capacity beyond today’s 32TB drives toward 40TB, 50TB and higher, and the 4U100/4U74 enclosures are explicitly designed to accommodate those future disks so petabytes per rack can keep scaling without changing the chassis. That makes a single 42U rack with up to ten of these trays a 32-petabyte building block for AI, edge and sovereign data infrastructures. Hardware root-of-trust, secure boot on the BMC and standards-based management interfaces are included to meet tightening EU and US regulatory requirements around storage security in large-scale environments.

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OpenMV CEO and co-founder Kwabena Agyeman walks through the new OpenMV AE3, a 1 inch by 1 inch edge-AI camera board designed to embed machine vision and neural networks into literally anything – from light switches to wearables. Built as a tiny, battery-friendly “Arduino of machine vision,” the AE3 combines MicroPython programmability with around 250 billion operations per second of NPU compute so developers can deploy real-time vision models without touching the cloud. https://openmv.io/products/openmv-ae3

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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Under the hood, the AE3 is powered by Alif Semiconductor’s Ensemble E3 SoC: dual Arm Cortex-M55 cores (400 MHz and 160 MHz) paired with two Ethos-U55 microNPUs delivering roughly 250 GOPS of AI throughput in that 6×7 mm package. On the board you get a 1 MP color global-shutter camera (up to ~120 fps at VGA), Octal-SPI flash streaming models at about 200 MB/s, integrated Wi-Fi/Bluetooth, high-speed USB-C, and a Qwiic connector for the SparkFun ecosystem. An onboard time-of-flight sensor, IMU (accelerometer/gyroscope), microphone and RGB LED turn the AE3 into a complete sensing and interaction platform rather than just a bare camera module.

In the demo, Kwabena shows the AE3 running hand-landmark detection at around 30 fps directly on the microcontroller, enabling gesture-driven user interfaces, as well as eye and face-landmark tracking, face recognition, segmentation and monocular depth estimation. The firmware stack supports a spectrum of neural network architectures – YOLOv2/v5/v8/v11 and custom CNNs – compressed to fit the constrained memory while still maintaining interactive frame rates. Because all inference runs locally, a smart door lock can recognize your face, or a smart light switch can see your hand, without ever streaming biometric data to a server.

He also explains how this board grew out of a decade of OpenMV work: eight years as a side project and the last two years full-time, culminating in a Kickstarter campaign for the N6 and AE3 that passed roughly $150k and around 700 backers. Filmed at Embedded World North America 2025, the conversation hints at where OpenMV is heading next – from battery-powered “AI in a golf cap” to industrial and robotics deployments – as MicroPython support for the Alif Ensemble family and the broader OpenMV ecosystem make it easier for engineers and makers to treat tiny AI vision as just another building block.

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Tirias Research founder and principal analyst Jim McGregor outlines how his firm connects semiconductor roadmaps, cloud infrastructure and emerging compute paradigms to guide technology vendors and enterprises through architectural transitions. He positions Tirias as a custom research and advisory shop that tracks everything from IP blocks and SoCs to full data center and edge deployments across AI, HPC and quantum-ready systems. https://tiriasresearch.com/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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He characterizes Supercomputing 2025 #SC25 as a turning point where classical high-performance computing, large-scale AI and early quantum computers are converging into a single conversation. Using IBM’s “quantum chandelier” as a visual anchor, McGregor explains how competing qubit technologies could eventually yield a single quantum processor capable of outperforming today’s Top500 supercomputers on targeted workloads. That leap unlocks scenarios like real-time global weather modeling, accelerated materials discovery and fast genomic analysis that are impractical even on the largest current clusters.

Quantum also reshapes security. McGregor emphasizes the “harvest now, decrypt later” threat model, where attackers capture encrypted traffic today and wait for future quantum systems to break current public-key schemes. He argues that organizations should already be migrating to NIST-approved post-quantum cryptography, designing protocols, key management and hardware roots of trust so that sensitive data remains protected even when practical quantum accelerators become widely available.

On the classical compute side, he discusses Nvidia’s Arm-based Grace server CPUs and upcoming Vera/Blackwell-era platforms as tightly coupled companions to GPU accelerators for AI-centric nodes, while also noting competing heterogeneous designs from AMD and others. He links these product trends to a wave of new exascale projects, including future US Department of Energy systems and additional AMD-powered exascale machines in Europe, as vendors push toward AI-optimized “AI factory” data centers rather than traditional monolithic supercomputers.

McGregor closes by walking through the rest of the SC25 show floor to illustrate how every subsystem is scaling together: Micron’s 245 TB SSDs for dense storage, high-bandwidth networking from companies like Broadcom and Cisco, and visually striking liquid-cooling deployments that make ultra-dense AI racks thermally feasible. Filmed at Supercomputing 2025 in St. Louis, the discussion frames the modern data center as a single engineered system where memory, interconnects, accelerators, cooling and power delivery all co-evolve to meet the demands of HPC, AI and, increasingly, quantum workloads.

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Asus uses this booth tour to show how its NUC-based edge AI PCs run compact multimodal models for traffic, retail and manufacturing analytics. Around 1-billion-parameter vision models run directly on Intel Core Ultra powered Asus NUC systems, while larger workloads can move to NUC Performance class hardware with more GPU and memory bandwidth. A live demo combines video analytics with a chatbot-style interface so operators can type queries such as “red car” or “pedestrian” and instantly jump to the exact segment where those objects appear, all processed at the edge on small form factor systems. https://iot.asus.com/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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The tour then moves into predictive maintenance, where Asus IoT vibration sensors stream time-series data into compact edge gateways that host the AI models instead of a remote data center. These fanless industrial gateways aggregate many small sensors, run anomaly detection locally and only forward summarized metrics and alarms into the cloud, reducing bandwidth while catching early signs of wear on motors and other rotating equipment. Underneath those gateways sits a portfolio of long-life industrial motherboards and networking components across 3.5″ SBC, Mini-ITX and Micro-ATX form factors, designed for wide-temperature, 24/7 use and multi-year availability in industrial deployments.

Filmed at Embedded World North America 2025 in Anaheim, the walkthrough also explores computer-vision workloads in surveillance and retail. AI cameras running on Asus NUC edge systems segment people with colored overlays, track object geometry and feed dashboards for occupancy and safety analytics. A concrete example is an AI checkout system already deployed in airport convenience stores at hubs such as LAX and JFK, where a camera-based model identifies products on a tray without needing to see barcodes, enabling fast self-checkout using object detection and product classification instead of traditional scanners.

On the compute side Asus highlights both edge servers and specialized medical systems. A short-depth 1U AI server handles higher-throughput inferencing at the network edge, while the MDS-M700 medical-grade box PC brings 4K UHD AI imaging, IEC 60601-class safety and ultra-quiet operation into operating rooms and radiology suites, where it can host imaging models and accelerator cards for segmentation or detection tasks. Medical and factory panel PCs act as the smart-factory and hospital front end, running SCADA-style software and HMI dashboards on rugged touch displays that are built for continuous operation.

The final section looks at vision AI in manufacturing and healthcare workflows. Using a ROCK 1000 edge system for in-line inspection, Asus demonstrates real-time defect detection on materials, marking anomalies as they move past the camera for immediate operator feedback. A partner demo from Dhouse streams medical images from scanners to an Asus box PC for instant quality checks and remote expert review, while a compact M700 platform is shown monitoring patient rooms to detect when someone attempts to get out of bed and proactively alert nurses. Together these use cases position Asus IoT as a bridge between AI PCs, industrial edge compute and domain-specific applications in smart factories, retail, transportation and healthcare.

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Broadcom’s Thor Ultra is a new 800G AI Ethernet NIC designed to push scale-out bandwidth per GPU to 800 Gbit/s using a single OSFP port on a PCIe Gen6 x16 adapter. In this interview, product manager Sundeep Balani explains how the card targets GPU and XPU back-end networks where collective operations dominate, and why moving from 400G to 800G per accelerator matters for cost-per-token and training throughput in large AI clusters More on the adapter family here: https://www.broadcom.com/products/ethernet-connectivity/network-adapters/p1800go

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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Thor Ultra is presented as an Ultra Ethernet Consortium (UEC)–compliant NIC that modernizes RDMA/RoCE for AI fabrics, adding packet-level multipathing, out-of-order data placement directly into GPU memory, selective retransmission and a fully programmable congestion-control pipeline. These hardware capabilities are intended to keep link utilization high even when packets take different paths across a very large fabric, addressing the traditional scaling limits of RoCE-based Ethernet in multi-rack GPU topologies.

On the hardware side, the video walks through the OCP NIC form factor with a single OSFP112 port, large heatsinks over both the optical cage and the Thor Ultra ASIC, and an air-cooled design that can later evolve toward liquid-cooled variants for denser racks. Filmed on the show floor at Supercomputing 2025 #SC25 in St Louis, the demo focuses on how this 800G NIC is meant to sit directly beside each GPU in high-density servers, rather than being a shared resource for the whole node. That per-GPU NIC topology is what enables many simultaneous collective flows without starving individual accelerators of bandwidth.

Broadcom positions Thor Ultra as backward compatible at the platform level—same OCP and PCIe CEM form factors as existing adapters—while introducing a clean-sheet architecture aimed purely at AI scale-out. The NIC integrates with UEC-compliant switches such as Broadcom’s Tomahawk 5 and 6 families and uses 100G/200G PAM4 SerDes, line-rate encryption/decryption, secure boot and device attestation to meet both performance and security requirements in modern data centers The form-factor continuity should allow GPU server vendors to drop Thor Ultra into existing designs as PCIe Gen6 platforms become mainstream.

Throughout the conversation, there is an emphasis on cluster-level impact rather than headline link speed: the ability to scale beyond 100,000 XPUs on Ethernet, reduce fabric-induced job retries, and standardize on an open UEC spec instead of proprietary interconnects ([SDxCentral][5]) Viewers get a concise tour of how this NIC, its OSFP interface and its telemetry and congestion-control hooks fit into the broader AI training fabric, making clear why 800G Ethernet adapters are becoming central components of next-generation AI networking.

I’m publishing about 60+ videos Supercomputing 2025 #SC25 I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Supercomputing 2025 SC25 videos in my playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvihnaq98TO55Cbe2VMD9mk8

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CIQ uses this booth conversation to show how its stack ties together Rocky Linux from CIQ, the Rocky Linux for AI (RLC-AI) variant, and tools such as Warewulf provisioning, Fuzzball workflow orchestration, Ascender automation and Apptainer containers into a coherent platform for performance-intensive computing, from traditional HPC clusters to GPU-centric AI workloads. The interview explains how CIQ builds on the community Rocky Linux distribution while adding enterprise support, tuned kernels, curated userspace and AI-ready container images for customers who want a consistent base OS across on-prem and cloud resources, with more details at https://ciq.com/products/rocky-linux/ai/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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A key part of the story is the relationship between CIQ, Rocky Linux and the Rocky Enterprise Software Foundation (RESF). Rocky Linux remains a community-governed, bug-for-bug compatible enterprise Linux aligned with the RHEL ecosystem, while CIQ acts as founding sponsor and delivers a commercially supported RLC line with validated updates, SLAs and indemnification for production workloads. ([Rocky Linux][1]) On top of that, RLC-AI extends Rocky Linux with NVIDIA CUDA, drivers and AI frameworks, and CIQ recently became the first Linux distribution authorized to ship the complete NVIDIA AI software stack, positioning Rocky Linux from CIQ as a standard base layer for model training, tuning and inference in data-center environments.

Jonathan Anderson then dives into Warewulf (the “Werewolf” he demos), a stateless bare-metal provisioning system that can turn racks of idle servers into a functioning HPC cluster by building OS images, pushing them to nodes and handling per-node customization without relying on local disks. ([warewulf.org][3]) At Supercomputing 2025 in St Louis he explains how CIQ productizes this as Warewulf Pro, adding node image catalogs and a web interface, and notes that Warewulf Pro has just been recognized in the HPCwire awards as users push for horizontal scaling and clearer patterns for managing state on large clusters; even the green Rocky Linux cowboy hats and the pedaflop party references serve as reminders that this is very much a live, growing operator community around that infrastructure.

From there the conversation moves to Fuzzball, CIQ’s container-centric workflow engine for performance-intensive computing, which lets the same pipeline run on-prem, across multiple clusters or in cloud environments while abstracting the underlying schedulers and resources. ([CIQ][4]) Anderson cites customer work such as bioinformatics and RNA sequencing, where Fuzzball Federate can unify heterogeneous resources and has been credited with 100× throughput improvements at FYR’s precision-medicine platform, while Ascender provides Ansible-based orchestration for system lifecycle tasks and Apptainer delivers HPC-friendly containerization rooted in the Singularity heritage for secure, reproducible workloads.

The last part of the booth tour focuses on Rocky Linux from CIQ for AI (RLCI / RLC-AI) and why CIQ can show measurable performance gains over generic enterprise builds: CIQ tracks newer upstream kernels, enables AI-oriented configuration options, recompiles key user-space components for modern micro-architectures and pre-integrates CUDA, PyTorch, TensorFlow and ONNX tooling so AI and HPC teams can start from an optimized baseline rather than hand-tuning each node. ([CIQ][2]) Rocky Linux itself continues to support x86, Arm, Power and RISC-V architectures, but the current RLC-AI focus is on x86 GPUs, with ARM on the roadmap, and the conversations at SC25 revolve around scaling Warewulf beyond single-server deployments, tightening workflow integration with Fuzzball and expanding this open-source-first ecosystem into a more complete, production-ready AI and HPC roadmap.

I’m publishing about 60+ videos from Supercomputing 2025 SC25 St Louis, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST

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Open standards consortium PICMG sits at the center of many embedded and edge computing architectures, and in this interview president Jessica Isquith at Embedded World North America 2025 explains how specifications like COM Express, COM-HPC, CompactPCI Serial, AdvancedTCA and MicroTCA provide interoperable building blocks across markets from telecom to industrial automation. By defining common form factors, connectors and pinouts, PICMG enables interchangeability between vendors, shorter time-to-market and a much more robust ecosystem of module and carrier-board vendors for embedded computing. More technical details on COM-HPC are available at https://www.picmg.org/openstandards/com-hpc/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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A key theme is computer-on-module (COM) design: CPU, memory and high-speed I/O are concentrated on a standardized module, while application-specific carrier boards handle domain-specific interfaces, power conditioning and connectors. COM Express remains widely used, while COM-HPC targets higher I/O density with PCIe Gen5 today and preparation for PCIe Gen6, multi-lane 25 Gbit/s Ethernet, USB4 and rich display and camera interfaces. The result is a modular upgrade path where designers can move to a new processor generation by swapping modules while keeping carrier-level investments stable, which is valuable in embedded lifecycles.

Isquith also dives into the power and thermal challenges that come with shrinking footprints while pushing server-class performance out to the edge. High-TDP x86 and Arm SoCs, dense DDR5 memory and AI workloads demand sophisticated thermal solutions such as conduction-cooled frames, vapor chambers, heat pipes and in some cases liquid-cooling approaches around module and carrier assemblies. The discussion highlights how packaging and mechanical design are now as important as digital pin mapping when deploying high-performance COMs into harsh environments like transportation, robotics and factory automation where uptime and reliability are critical.

Another focus is governance and ecosystem dynamics inside PICMG. With roughly 140 member companies across more than 20 countries, work on new specifications starts when a small group of members brings a market justification and technical concept, which then becomes a full working group following a one-company-one-vote model. PICMG’s portfolio is designed to complement rather than duplicate other standards bodies, so COM-HPC and COM Express coexist with SGET standards such as SMARC and Qseven, and with VITA architectures like VPX and VNX, creating a broad toolkit of interoperable form factors for embedded compute platforms.

Filmed at Embedded World North America 2025, the video follows Isquith around the show floor to concrete examples from member companies displaying COM Express and COM-HPC modules, carrier boards and CompactPCI Serial systems used in communications, industrial control, transportation, gaming and emerging AI-driven robotics. She closes by emphasizing PICMG’s dual mission: not only to develop specifications such as COM-HPC and AdvancedTCA, but also to promote adoption through tools, events and new initiatives that make it easier for engineers to discover, evaluate and deploy open standard embedded computing architectures in their next generation designs.

I’m publishing about 90+ videos from Embedded World North America 2025, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Embedded World North America videos in my Embedded World playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning: https://www.youtube.com/watch?v=U98RuxkFDYY

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