Geniatech Radiantek, a recently launched subsidiary of Geniatech, demonstrated their local edge AI hardware platforms and custom engineering services at Computex 2026. The company focuses on ARM-based architectures and modular computing designs, offering custom hardware development, Linux optimization, and manufacturing services to support edge applications. Their showcase highlighted system-on-modules and single-board computers that enable local artificial intelligence workload processing without relying on cloud services.
—
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.
—
Among the new hardware integrations is a Rockchip M.2 module featuring the RK3588 and RK1808 accelerators. This module supports local deployment of vision-language models, such as the Qwen 3.5B parameter model, performing inference locally with a response time of approximately two seconds. Because the model runs entirely offline, it eliminates internet dependency, protects data security, and removes token-based operating costs.
For larger deployments, the APC880 and APC880 Mini edge computing boxes pair the NXP i.MX 8M Plus system-on-chip with the Kinara Ara-2 (Ara240) coprocessor, delivering up to 42.3 TOPS of AI performance. The standard APC880 model features modular expansion and a comprehensive selection of interfaces, including HDMI output, USB Type-C, and dual Gigabit Ethernet ports, while the APC880 Mini offers a more compact form factor with similar processing capabilities. Additionally, the planned EdgeClaw agent boxes can scale performance by combining up to four M.2 modules to achieve 128 TOPS, enabling local inference for models up to 35 billion parameters such as Gemma or Nemotron.
The company’s product roadmap supports a wide range of hardware platforms and NPU architectures, allowing developers to choose from different accelerators based on project requirements. Supported modules include Hailo NPUs, DeepX accelerators noted for temperature control, and MemryX systems. The modular designs conform to standard SMARC specifications, utilizing system-on-chips from NXP (i.MX 95), Qualcomm, MediaTek (Genio 520 and 720), and Renesas.
These edge computing systems are designed for real-world deployment in areas like smart healthcare and intelligent security. In nursing home environments, cameras connected to these edge boxes can monitor patient rooms, identifying incidents such as falls and generating immediate alerts for nursing staff. In security applications, the local processing allows cameras to identify threats, such as a weapon, and notify security personnel instantly to protect public safety.
