Edge Computing

GF Maps Cloud-to-Edge Chip Portfolio for AI Workloads

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GF Maps Cloud-to-Edge Chip Portfolio for AI Workloads

Global – October 22, 2026 -- GF has laid out a cloud-to-edge portfolio of essential chips for AI, spanning silicon photonics, power delivery, advanced packaging, RF, embedded memory and low-power compute, in a talk at CEA-LETI.

The company ties the portfolio to AI use cases in autonomous driving, healthcare, robotics and industrial automation.

GF targets GPU connectivity and data center power in the cloud

Connecting more GPUs for more powerful AI models requires higher data rates, which GF addresses with Fotonix silicon photonics and optical networking.

For data centers seeking sustainable power and lower CO2 emissions, GF points to GaN, BCDLite and FinFET technologies. They provide low transmission loss power delivery and fast transient response voltage regulation.

Viewpointsystem Runs Full Eye Tracking on MCU, Cuts Power 15x

Vienna – October 14, 2026 -- Viewpointsystem has launched an eye-tracking module that delivers up to 15 times longer battery runtime than conventional processing on a connected device, according to the company's performance measurements. The Digital Iris Module runs the complete image-based eye-tracking pipeline at 140 Hz on an ultra-low-power Ensemble microcontroller (MCU) from Alif Semiconductor, inside the glasses frame.

Power consumption, heat generation and limited space have so far made eye tracking hard to add to lightweight smart glasses, the company said. Conventional systems send images from eye-facing cameras to a main application processor in the glasses or a connected device. Processing those streams draws power, generates heat and adds system complexity.

RMX Industries Details Edge AI Security Approach in New Brief

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RMX Industries Details Edge AI Security Approach in New Brief

Dallas – September 22, 2026 -- RMX Industries, Inc. (OTCQB: RMXI) has published Part Two of its Real-World Intelligence (RWI) brief series, detailing how its QuantrusX edge intelligence platform processes security camera data on customer premises rather than in the cloud, while keeping response decisions with trained personnel.

RMX extends its Real-World Intelligence series into campus and physical security

The new publication builds on Part One's introduction to RWI, a term RMX uses for intelligence generated at the physical edge. Part Two focuses specifically on how QuantrusX converts raw camera activity into operational intelligence for protecting people and property on campuses and other physical sites.

ABR Launches Edge-Native Voice SDK With 115ms Latency

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ABR Launches Edge-Native Voice SDK With 115ms Latency

Waterloo, ON – September 22, 2026 -- Applied Brain Research (ABR) has released the ABR SDK, a production toolkit combining its Niagara streaming speech recognition and Nith streaming speech synthesis models into a single API that runs entirely on edge processor hardware, eliminating network dependency for voice interfaces.

Niagara ASR generates first text output in as little as 115 milliseconds

The Niagara automatic speech recognition models produce initial text from audio input in 115 milliseconds, measured on embedded application-class CPUs. The Nith text-to-speech models generate first audio output from initial text in 147 milliseconds, with all models operating faster than real time across every supported platform.

MemryX, Lenovo Sign MOU to Scale Sovereign Edge AI in Saudi Arabia

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MemryX, Lenovo Sign MOU to Scale Sovereign Edge AI in Saudi Arabia

Riyadh – September 19, 2026 -- MemryX and Lenovo have signed a memorandum of understanding to expand sovereign edge AI deployments across Saudi Arabia, building on joint platforms already running in the Kingdom's infrastructure and industrial sectors.

Joint hardware platform already processes data at construction and port sites

The collaboration pairs the Lenovo ThinkEdge SE455 V3 rugged edge server with the MemryX Cascade 100P AI accelerator to process video and sensor data on site, reducing latency and dependence on centralized, power-intensive data-center infrastructure. One live deployment runs real-time construction safety analytics, including personal protective equipment compliance and site safety event detection. A second deployment operates inside a port environment, running compliance and monitoring workloads across the operator's existing camera infrastructure without disrupting operations.

iodyne's Pro Mini Smart Drive Debuts Live Across Four IBC2026 Booths

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iodyne's Pro Mini Smart Drive Debuts Live Across Four IBC2026 Booths

Los Angeles – September 16, 2026 -- iodyne will run its Pro Mini Smart Drive live across four partner booths at IBC2026 in Amsterdam, marking the first time European attendees see the device operating in real production workflows rather than a display case. The show runs September 11-16, and iodyne's storage will move encrypted, RAID-protected footage through capture, color, ingest and archive stages at booths run by Hedge, Adobe, RED Digital Cinema and Cintegral Technologies.

Seekr, SEMPRE Partner to Deploy Sovereign AI on Hardened Edge Network

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Seekr, SEMPRE Partner to Deploy Sovereign AI on Hardened Edge Network

Reston – September 14, 2026 -- Seekr and SEMPRE have signed a strategic partnership to run sovereign, explainable AI directly on SEMPRE's hardened edge infrastructure, hardening U.S. critical infrastructure against cyberattacks and grid loss.

Seekr's AI models will execute locally on SEMPRE Total Infrastructure Devices without touching the public internet

Under the agreement, Seekr's sovereign AI platform, SeekrFlow, will operate as a supported workload inside SEMPRE's environment. Models are built, tuned, and executed on each Device's own compute, with no model call and no production data crossing the public internet. The reasoning behind every AI output is recorded on site, remaining accessible to the operator.