ARMdevices.net

Acontis presents its Alasis real-time hypervisor running multiple deterministic Linux controllers and a Windows HMI on a single Advantech UNO-148 edge IPC, consolidating motion control, virtual PLC logic and supervisory functions for EtherCAT-based machines and robots in one compact DIN-rail system https://www.acontis.com/

The discussion dives into how the Debian-based hypervisor hosts several Yocto real-time Linux guests alongside Windows, each with dedicated access to fieldbuses and I/O while sharing the same 11th Gen Intel Core platform inside the UNO-148 edge controller, removing the need for separate PLC and SCADA PCs in industrial cabinets.

Acontis walks through the real-time behaviour of these Linux guests, showing a 1 kHz EtherCAT control loop with only around 8 µs jitter on top of a 1 ms cycle, something you cannot reliably achieve with a general-purpose Windows scheduler; even if Windows reboots or crashes, up to five hardened PREEMPT_RT Linux instances keep the motion and I/O control loops deterministic and isolated from non-real-time workloads.

On top of the hypervisor, the demo highlights the EC-Master EtherCAT master stack running in user space on real-time Linux and driving multiple EtherCAT subdevices, while a virtual PLC based on CODESYS executes IEC 61131-3 logic on another guest, illustrating how the same IPC can host low-level motion in C/C++ and higher-level PLC programs across x86 and ARM targets using the same toolchain and APIs.

The conversation also touches on how EC-Master and the acontis real-time hypervisor portfolio are used by OEMs across robotics, semiconductor manufacturing, medical devices and aerospace machines, leveraging EtherCAT and virtual controllers to meet strict latency requirements while still benefiting from Windows-based UX, diagnostics and data logging on the same hardware.

Filmed at the Advantech booth during SPS 2025 in Nuremberg, this video captures a concrete example of converging PLC, motion control and HMI workloads into a single industrial edge platform, simplifying cabinet design while keeping deterministic EtherCAT performance at the core of the architecture.

source https://www.youtube.com/watch?v=zk-aDfXYYl8

Infineon showcases its PSoC Edge MCU family, a heterogeneous Arm Cortex-M55/M33 platform with Helium DSP, Arm Ethos-U55 NPU and Infineon’s NNLite accelerator, aimed at low-power edge machine learning for face ID, voice assistants and rich 2.5D graphics HMI on a compact evaluation kit platform https://www.infineon.com/promo/next-generation-mcu

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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, Infineon engineer Alexi walks through the PSoC Edge evaluation kit that combines a high-density MCU module, display and an extension board with extra peripherals to prototype human–machine interfaces, smart home nodes and industrial control devices on the same hardware. Shot during Embedded World North America 2025 in San Diego, the demo highlights how the graphics engine, memory subsystem and sensor interfaces are tuned for responsive yet energy-efficient interaction on battery-powered hardware

The conversation focuses on deploying machine learning models directly into the microcontroller, with examples like on-device face recognition on the Cortex-M55 plus Ethos-U55 path and keyword-spotting voice assistance running in the low-power domain. Infineon’s toolchain combines ModusToolbox, DEEPCRAFT AI Suite and support for NVIDIA TAO-generated models so developers can train, quantize and map neural networks efficiently onto the PSoC Edge accelerators while staying within tight memory and power envelopes

For embedded developers, this video offers a concise look at how PSoC Edge turns Arm-based microcontrollers into practical TinyML platforms for wearables, smart locks, appliances, domestic robots, industrial robots and other HMI-centric designs. With always-on acoustic activity detection, on-chip non-volatile RRAM, up to several megabytes of SRAM and open demo projects available online, the PSoC Edge family provides a realistic path from proof-of-concept boards to production-grade edge AI products in the broader Infineon ecosystem

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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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Foundries.io’s George Gray explains how the team, now inside Qualcomm, is turning its cloud-native FoundriesFactory platform into the backbone for secure Linux- and MCU-based IoT products. By combining lifecycle device management, secure OTA pipelines and an open DevSecOps workflow, Foundries.io aims to let OEMs and startups go from Arduino prototype to maintainable fleet without building their own infrastructure. https://foundries.io/

The discussion revolves around the new Arduino UNO Q, a dual-brain board that pairs a Debian Linux system-on-module based on Qualcomm’s Dragonwing QRB2210 with an STM32U585 microcontroller. This hybrid Linux plus real-time architecture keeps the familiar Arduino GPIO footprint and shields, while adding Wi-Fi 5, Bluetooth 5.1, high-speed camera and display connectors and USB-attached HDMI, so developers can move from simple sketches to AI-enabled graphical applications on the same $45 board.

Gray shows how FoundriesFactory acts as a SaaS DevOps layer for these devices, providing Yocto-based Linux images, containerized applications, CI/CD, fleet management and over-the-air updates built on The Update Framework (TUF). Recorded at Embedded World North America in Anaheim, the demo dashboard represents a live “factory” of devices where OEMs can roll out firmware, kernel and application updates, track SBOMs and vulnerabilities, and design for upcoming EU Cyber Resilience Act (CRA) requirements around secure-by-design lifecycle management.

Within Qualcomm’s broader edge strategy, the acquisitions of Foundries.io, Edge Impulse and Arduino create a full stack that links silicon, Linux distributions, ML tooling and device management. The same platform can target Qualcomm RB3 Gen 2 and other SoCs for vision workloads such as object detection, while still supporting non-Qualcomm hardware, keeping the software stack open and portable for mixed fleets and long product lifetimes.

The conversation closes on how AI fits both on and around the device: Edge Impulse can retrain models on new datasets and FoundriesFactory can safely redeploy those models, while generative AI today is more pragmatic in testing, documentation and developer assistance than in producing security-critical firmware. Together, this ecosystem hints at how maker-grade boards like UNO Q, secure OTA infrastructure and CRA-aligned practices can converge into industrial IoT and edge products that stay maintainable and secure over many years.

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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 😁

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nRF Cloud powered by Memfault brings embedded observability and device lifecycle management directly into Nordic-based designs, combining a tiny on-device firmware SDK with a cloud backend that aggregates core dumps, logs, metrics and traces from every node in the field. By integrating into nRF Connect SDK, Zephyr, bare metal MCUs, Linux and Android, developers get JTAG-level insight into production systems without physical access, enabling remote debugging, fleet health monitoring and controlled OTA firmware rollouts from the same web console https://memfault.com/

—
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 this interview from Embedded World North America 2025 in Anaheim, Victor explains how instrumenting devices with the Memfault SDK installs fault handlers that periodically upload captured core dumps and telemetry to nRF Cloud when connectivity is available. The footprint is only a few kilobytes, so it fits comfortably on Nordic nRF52, nRF53, nRF54 and nRF91 Series designs as well as other Zephyr-based or bare-metal systems. For low-power and intermittently connected devices, data is buffered and flushed later, so developers still get complete post-mortem context comparable to having the device on their lab.

On the nrfcloud.com dashboard, teams see active device counts, software version rollouts over time, trace volume and reboot reasons, making it easy to correlate new crashes or reboots with a specific firmware release. Memfault parses stack traces to deduplicate core dumps, grouping crashes by true root cause and counting how many devices and occurrences are affected across the fleet. Combined with device management and location services exposed in nRF Cloud, this gives a consolidated view of reliability, deployment progress and field behavior across a growing fleet.

Beyond crashes, the platform collects arbitrary metrics, including a flash-wear indicator for eMMC-based designs that estimates remaining lifetime from bytes written and controller wear data. This is particularly relevant for long-lived IoT deployments in asset tracking, smart agriculture or industrial monitoring where flash endurance directly impacts service costs. New AI features such as the “AI version summary” use metric trends before and after a release to generate human-readable summaries of regressions and improvements, leveraging months of historical data retention to highlight patterns in device history.

Out of the box, nRF Cloud powered by Memfault provides Nordic reference integrations, while allowing teams to add custom metrics, events and logs tailored to their product domain. That combination of embedded observability, remote diagnostics, fleet-wide metric analysis and OTA control helps firmware, operations and data teams collaborate on reliability and compliance, turning real-world telemetry into concrete fixes rather than one-off support tickets. The result is a practical path to operating large Nordic-based fleets with clear insight and confidence in each deployment.

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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

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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Microchip’s new Edge AI business unit brings together a broad portfolio of 16-bit dsPIC33 Digital Signal Controllers, 32-bit Arm-based microcontrollers and microprocessors, and low-power PolarFire FPGAs into a coherent edge machine learning stack. The goal is to let designers deploy sensor analytics, computer vision and predictive maintenance workloads directly on small embedded targets instead of depending on the cloud, while still integrating with existing industrial networks and management platforms. https://www.microchip.com/en-us/solutions/technologies/machine-learning

—
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 smart home demo, an 11-inch HMI is driven by a SAMA7 Cortex-A7 MPU running up to 1 GHz, which is well suited for Linux-based GUIs, graphics acceleration and camera input. The system controls lights and fans, aggregates door and environmental sensors and runs a fully local face-recognition pipeline based on the open-source SCRFD detector and a Facenet-style embedding model, so authorized users can be recognized at the door without streaming frames to the cloud. The same platform can host keyword spotting, IMU-based activity recognition and other edge ML workloads using the same Cortex-A7 compute budget and camera or sensor interfaces.

For industrial users, Microchip highlights predictive maintenance on a 16-bit dsPIC33 DSC motor-control board with swappable DIM controller modules. Engineers can log current, RPM and vibration data via MPLAB Data Visualizer and then use the MPLAB Machine Learning Development Suite to train anomaly detectors or regression models that run entirely on the DSC in real time. A complementary retrofit reference design uses accelerometers, a MEMS microphone and a temperature sensor, along with a custom low-power power-management subsystem, to turn existing motors and machines into monitored assets without redesigning the drive electronics.

Both approaches emphasize an edge-first architecture where inference runs locally and connectivity is used mainly for configuration, fleet monitoring and model lifecycle management. Wired Ethernet networks of microcontroller nodes can coexist with Wi-Fi based connectivity to a cloud partner platform such as aet IoT, so operators see consolidated dashboards while devices continue to make millisecond-level decisions at the edge. This balance between local autonomy and cloud coordination is key to scaling condition-based maintenance in factories without over-provisioning bandwidth or compute in the data center.

On the vision side, a PolarFire-class FPGA demo runs face recognition and pose estimation over multiple CSI camera streams, with the option to offload further processing to an attached NVIDIA accelerator when workloads grow. Microchip has been positioning PolarFire FPGAs as low-power, deterministic fabrics for edge AI and has even introduced an Ethernet Sensor Bridge that feeds multi-protocol sensor data into NVIDIA Holoscan and Jetson platforms for real-time robotics and medical imaging workloads. ([microchip.com][4]) This interview, filmed at Embedded World North America 2025 in Anaheim, captures how those FPGA capabilities, dsPIC33 DSCs and SAMA7 MPUs are being combined into a practical edge ML roadmap spanning smart home, factory and embedded vision system.

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

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Advantech uses this interview to walk through how its industrial panel PCs, IP65 HMIs and box PCs can orchestrate a complete secondary packaging line, from machine control to line-level monitoring and OT/IT connectivity. Fabio explains how the same hardware families span use cases from machine builders to factory digitalization, transportation and utilities, always with ruggedized, wide-temperature, fanless designs suitable for harsh industrial environments and continuous operation at the edge. More information on the broader IPC and HMI portfolio is available at https://www.advantech.com/

One focus in the demo is an IP65 all-around HMI, mounted on an arm, combined with the pocket-size UNO-2271G industrial gateway. This compact box PC brings Intel Atom or latest Celeron-class compute, dual LAN, HDMI and USB 3.0 into a fanless, wide-temperature enclosure, making it a small but capable edge node for smart factory use. A converter aggregates HDMI and USB over a single Ethernet cable using HDBaseT-class technology, so video, touch and data are all carried to the sealed HMI while keeping electronics safely in a control cabinet. The front panel can host customizable emergency stop, key-switch and selector buttons plus RFID-based user authentication, aligning operator ergonomics with machine safety and access control requirements

Advantech also shows a 10-inch full HD USB-C monitor powered entirely from the same UNO-2271G, where a single cable carries power, display signal and touch input to simplify installation and reduce cable clutter on packaging lines. Looking ahead, Fabio introduces the TPC-200 concept: a web panel that integrates a Qualcomm CPU with on-board MPU and AI acceleration, plus a smart camera behind the bezel, to run local vision inspection directly in the HMI. This fits into Advantech’s broader collaboration with Qualcomm to offer energy-efficient, edge AI platforms capable of multi-camera vision, model inference and on-premises generative workloads for industrial customers

Beyond HMIs, the booth highlights a spectrum of industrial box PCs from entry-level gateways to high-end Intel Core Ultra systems with optional NVIDIA Quadro GPU cards for demanding machine vision and analytics workloads. These fanless embedded PCs expose multiple GbE ports, serial interfaces and industrial power connectors, so they can aggregate sensor data, drive AI-based automated optical inspection and coordinate motion control across secondary packaging cells and battery production lines. By scaling CPU, GPU and I/O density across families, Advantech allows OEMs to reuse the same platform architecture from simple gateways up to GPU-accelerated vision servers deployed alongside conveyor systems and robotic case packers

Fabio closes by situating this portfolio in Advantech’s global footprint and the SPS Nuremberg 2025 context, noting that the company holds a significant share of the global IPC and panel PC market with more than 20,000 standard part numbers and extensive customization options from branding and color to mechanics and software. European operations combine a commercial office and lab in Italy with a regional HQ and configuration services in Eindhoven, backed by three major manufacturing sites in Taipei, China and Japan that can take over each other’s production if needed. As SPS evolves from pure machine automation toward OT/IT convergence, AI vision and data-centric smart factories, the discussion shows how Advantech positions its HMIs and edge PCs as a modular hardware layer ready for modern industrial digitalization

Advantech UNO-2271G and Qualcomm HMI Prototype for Machine Vision Edge Computing

source https://www.youtube.com/watch?v=8LILKjzOEfg

GitLab uses this demo to show how its DevSecOps platform unifies planning, source code management, CI/CD, security and compliance for embedded and firmware teams. Instead of stitching together separate tools, development, security and operations share one pipeline that builds, tests, scans and packages releasable device software images for microcontrollers and Linux-based edge hardware. https://about.gitlab.com/platform/

—
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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Field CTO Darwin Sanoy walks through an embedded workflow built around merge requests as the single source of truth for each change. Policy-based pipelines attach relevant static and dynamic security findings, surface only issues in the code that changed, enforce approval rules and block merges when risk thresholds are exceeded. For embedded teams, this shift-left DevSecOps approach shortens cycle time between iterations while preserving traceability for audits and regulated work.

A central theme is bringing real hardware into the CI loop. GitLab Runner on a backpack PC controls a pet-toy robot dog and boards such as Raspberry Pi Pico and Raspberry Pi 5. Firmware is compiled and flashed as part of the pipeline, then Robot Framework tests validate behaviour on the physical device before results flow back into the merge request. The same pattern underpins GitLab’s on-prem embedded device cloud, which allocates boards on demand for software-in-the-loop and hardware-in-the-loop testing and returns them to a shared pool when jobs complete.

The interview also highlights GitLab’s AI capabilities, which extend beyond code generation. AI assistants integrated across the platform can explain failing CI jobs, unfamiliar CI YAML or inherited C/C++ code, and suggest next steps directly inside merge requests, IDEs and logs. For embedded specialists who are not full-time DevOps engineers, this AI layer lowers the barrier to adopting robust CI/CD and security practices without replacing human review.

Recorded at Embedded World North America 2025, the session shows how GitLab can sit at the centre of an embedded organisation’s tooling, treating every firmware build as a releasable artefact rather than an ad hoc binary. With policy-driven pipelines, device-cloud style hardware orchestration and platform-wide AI assistance, the same workflows can support pet toys, industrial controllers or IoT gateways. It is a practical view of DevSecOps applied to real boards on a busy trade-show floor instead of a slide-only deck.

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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

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NVIDIA’s desktop team presents DGX Spark as a true “personal AI supercomputer” form factor: a Grace Blackwell GB10 Superchip system delivering around 1 petaFLOP of FP4 AI performance, 128 GB of coherent unified memory and 4 TB NVMe storage so LLMs and multimodal models up to roughly 200 billion parameters can run locally instead of in the cloud. With the full NVIDIA AI software stack preinstalled and a ConnectX-7 SmartNIC for 100 GbE plus 10 GbE RJ-45, two DGX Spark units can be linked as a mini cluster to push into 400B-parameter experimentation while staying on the developer’s own desktop. https://www.nvidia.com/en-us/products/workstations/dgx-spark/

—
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.
—

In the interview, NVIDIA positions DGX Spark as a way for researchers and engineers whose laptops are hitting memory and bandwidth limits to keep working inside familiar IDEs and toolchains while offloading training, fine-tuning, RAG and agent workloads to a silent 1.2 kg box beside the monitor. The industrial design deliberately echoes the original DGX-1 Jensen Huang delivered to OpenAI, but compresses a rack-class capability into a footprint of 150 x 150 x 50.5 mm, turning what used to require a lab into something that fits on a shared office desk.

Next to DGX Spark, NVIDIA showcases its RTX Pro 6000 Blackwell workstation GPUs, in Max-Q 300 W, 600 W active-cooled desktop and passive server variants. Built on the Blackwell architecture with 96 GB of GDDR7, a 512-bit memory interface and roughly 1.8 TB/s bandwidth, these boards bring fifth-generation Tensor Cores with FP4/FP8 modes and fourth-generation RT Cores into single-socket workstations, with support for four-GPU configurations over PCIe Gen 5. For CAD, DCC, digital twins, robotics simulation and small-to-mid-scale model training, that combination of VRAM capacity and throughput is what keeps data on-GPU instead of constantly paging to system memory or the network.

Recorded at SC25 in St Louis, the conversation ties these pieces together as a continuum from desktop AI boxes to multi-GPU workstations and datacenter nodes, all sharing the same Blackwell, CUDA and NVIDIA AI Enterprise software ecosystem. OEM partners like Dell, HP, Lenovo, MSI and others are already integrating RTX Pro 6000 Blackwell and Grace Blackwell platforms into their own systems, so developers can choose between a turnkey DGX Spark on the desk, a full workstation packed with RTX Pro 6000 boards under the desk, or scaling out to clusters while keeping a consistent toolchain across the whole AI community.

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 😁

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source https://www.youtube.com/watch?v=3xu4XuH6MFU

SALZ Automation shows how virtualization and functional safety can run on the same industrial PC. With its SALZ Control System and ZOS real-time Linux, the company runs CODESYS Virtual Safe Control SL as a SIL3 safety controller on standard Advantech edge hardware instead of dedicated safety PLCs, turning commercial off-the-shelf systems into certified safety platforms. https://www.salz-automation.com/en/From_Virtualisation_to_Functional_Safety

The demo implements an emergency-stop scenario using Functional Safety over EtherCAT (FSoE) and mixed I/O vendors, with virtual PLC and virtual safe PLC instances replacing classic hardwired safety CPUs. Safety logic is engineered in CODESYS but executed inside containers, where safe runtime and standard control runtime are isolated and monitored via the SALZ dashboard while the full setup draws only about six percent CPU on the Advantech box.

Architecturally, SALZ maps the CODESYS “Safe House” pattern into a containerized system: one host provides an external time source, the other runs the virtual safe controller and standard control tasks as dual software channels that meet IEC 61508 SIL3 timing requirements. This virtualized safety path preserves deterministic execution and diagnostic coverage while replacing hardware redundancy with software-defined redundancy managed through Docker-style orchestration.

Because the stack is protocol-agnostic, the same approach can be applied in robotics cells, packaging lines, food and beverage plants or process and gas applications wherever functional safety and flexible topology are required. OEMs and integrators can scale from single machines to fleets by spinning up containers instead of redesigning hardware, while staying in the standard CODESYS Safety engineering environment.

Recorded at the Advantech booth during SPS 2025 in Nuremberg, the discussion positions this as an early live deployment of virtual safety control on generic edge hardware. It reflects a broader shift in industrial automation from fixed, hardware-bound safety PLCs to software-defined control on open PCs, with containerization, EtherCAT and OPC UA helping virtual PLCs and virtual safe controllers coexist on the same box without compromising certified safety levels.

source https://www.youtube.com/watch?v=pJ8JsbagAHk

Axiomtek showcases how its own motherboard-to-system design strategy scales from smart city video walls to edge AI inspection in this tour of their Intel and NVIDIA powered platforms. The demo starts with a smart city monitoring system that can drive up to nine simultaneous video streams, using dedicated acceleration to handle high-bandwidth analytics rather than simple passive display. https://www.axiomtek.com/

—
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.
—

On the NVIDIA side, Axiomtek’s AI series integrates Jetson-based compute into rugged fanless boxes with GMSL-style camera connectors, so integrators can bring in four or eight cameras per node depending on the configuration. The suitcase-counting demo illustrates how multi-camera computer vision, object detection and tracking can be deployed directly at the edge for logistics, retail or transportation analytics without sending all the raw video to the cloud.

A second demo focuses on anomaly detection and quality inspection, where Axiomtek’s AIE500 hardware runs a partner’s AI software stack. Operators capture reference images of a “good” bolt or PCB, then the model learns to flag deviations on the production line or in agriculture and other verticals. The system exposes confidence scores and thresholds, so process engineers can tune false positive and false negative rates for their specific workflow rather than treating AI as a black box.

Behind the glass wall, Axiomtek walks through its “bread and butter” embedded boards, from full-size ATX all the way down to the credit-card-sized KIWI300 platform. These boards target transportation, networking, retail, gaming and industrial control, and feed into DIN-rail IoT gateways such as the IECO and IIA series. In this Embedded World North America 2025 setup, the gateways act as secure edge nodes, handling connectivity, cybersecurity policies and protocol translation between field devices and higher-level IT systems.

The tour ends on industrial panel PCs and Intel-powered embedded systems designed as HMIs and edge analytics nodes for factories and smart buildings. A proximity and ambient-light sensor automatically dims the display and reduces power draw when nobody is nearby, then wakes the interface when an operator approaches. A security-oriented demo shows how vision analytics can detect people lingering in a zone, similar to a professional “ring camera” that can trigger alerts or escalation. With manufacturing in Taiwan and integration and engineering support from its City of Industry office in the US, Axiomtek positions these platforms as building blocks for scalable, production-ready edge AI deployments.

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

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Hybrid quantum-classical computing is moving from theory into real workflows, and IBM is using this demo to show how that looks on IBM Cloud. A single application is split into several stages: classical HPC jobs prepare and analyze molecular configurations, then a quantum circuit is generated and executed on an IBM quantum processor, before the final results are visualized for the user. IBM Spectrum LSF acts as the batch scheduler and control plane that orchestrates these stages end to end on cloud infrastructure. https://www.ibm.com/products/hpc-workload-management

—
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.
—

The video walks through a typical hybrid workload for quantum chemistry and materials modeling, where classical nodes first determine the geometry of a molecule and perform the heavy pre-processing. A subsequent step transposes and lays out the quantum circuit that will run on the quantum hardware, mapping the problem into qubits and gates. Once the quantum job completes, its output is fed back into the classical simulation pipeline, which aggregates and visualizes the results in a form domain experts can interpret.

IBM positions quantum not as a separate, exotic system but as another specialized accelerator in the HPC stack, similar to how GPUs and FPGAs are used today. Over roughly three decades, HPC workflows have evolved from CPU-only to heterogeneous architectures; quantum processors are presented here as the next accelerator class for problems like many-body physics, quantum chemistry and complex optimization that are difficult to scale classically. This interview, filmed at SC25 in St Louis, frames that shift as an incremental step in established HPC practice rather than a replacement of existing compute.

On the software side, the key piece is the integration between IBM Spectrum LSF and Qiskit, IBM’s open-source Python SDK for building and running quantum circuits on real hardware or simulators LSF submits, queues and schedules the classical pre- and post-processing jobs, and at the appropriate point in the workflow it invokes the quantum step via Qiskit APIs against IBM Quantum systems hosted in the same cloud region. This provides a single workload management layer and unified control plane for both classical MPI-style jobs and quantum execution.

The conversation also touches on accessibility: researchers and developers can already request limited free access to IBM Quantum systems via the IBM Cloud interface, experiment with Qiskit to prototype algorithms, simulate them, and then run them on real devices to study behavior under noise. The demo in the booth is less about a one-off visualization and more about showing how a complete hybrid pipeline can be expressed as jobs, scheduled, monitored and iterated as quantum hardware and cloud software continue to mature.

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 😁

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source https://www.youtube.com/watch?v=Gbl-smbCW4g

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 😁

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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/

—
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.
—

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 😁

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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.
—

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