From the archive
AI hardware provides the computing power, memory and networks used to train and run artificial intelligence models. Follow news on GPUs, AI accelerators, data centres, chip design and energy demand. Read how changes in infrastructure affect performance, availability and cost, and distinguish measured results from vendor claims about what the next generation of computing will deliver.
Lead story
Cornelis Networks is opening a new front in AI infrastructure: the Intel spin-off says it is moving into scale-up networking for rack-scale systems, raising $205 million and exploring a collaboration with Qualcomm. The important bit is strategic, not merely financial: Cornelis wants to give AI-platform builders an open…
Read the report & discussion ↗Watch Desk
Pinterest says its new multimodal AI infrastructure makes visual search 7.3 times faster overall and starts responses 85 times faster in benchmark testing. Built with NVIDIA technology, the system is intended to improve discovery, shopping, content understanding and safety across a platform handling more than 80 billion searches…
NVIDIA Watch
NVIDIA says it has made dropless Mixture-of-Experts training dramatically faster in JAX, taking DeepSeek-V3 from 103 to 1,068 TFLOPS per GPU on GB200. The company also reports 97% scaling efficiency across 1,024 GPUs on GB300 NVL72 hardware, turning a specialist optimisation story into a useful glimpse of where…
NVIDIA Watch
NVIDIA and Lorentz Solution will present a new chip-level electromagnetic verification workflow at TSMC’s Open Innovation Platform forum in Santa Clara on 23 September. The important bit is not another glossy AI slogan: as accelerator systems push data through optical and co-packaged interconnects at extreme speeds, the wiring…
NVIDIA Watch
NVIDIA is giving d-Matrix’s next-generation Raptor inference chips a route into its AI-factory racks. The multi-year collaboration will integrate Raptor XPUs into NVIDIA’s MGX architecture through NVLink Fusion, targeting the part of AI serving where generating tokens quickly matters most.
AMD Watch
Dell’s Pro 5 16 is a mainstream business laptop with AMD’s latest Ryzen AI 400-series silicon inside, and ServeTheHome’s review shows why that middle ground is becoming more interesting. It is not a flashy workstation or a gaming machine, but it offers serious performance, modular memory and corporate-friendly…
AWS AI Watch
The most expensive AI customisation mistake may be reaching for training before proving that a better prompt or a small retrieval layer would do the job. AWS has published an eight-step framework that starts with using a model as-is and ends with building a custom model from scratch.
Microsoft AI Watch
A mining railway in Western Australia is becoming a practical proving ground for AI. Hancock Iron Ore is using Microsoft-backed systems to spot track defects, bring operational knowledge into daily workflows and help teams act before maintenance problems become expensive interruptions.
NVIDIA Watch
SpaceX could soon give NVIDIA-powered AI computing a rather dramatic new workplace: orbit. Yahoo Finance UK reports that Elon Musk is highly confident the company will begin launching orbital AI computers in 2027, with larger deployments expected during 2028.
NVIDIA Watch
Perplexity Portable Computer is now available on Windows PCs with compatible NVIDIA GeForce RTX and RTX PRO graphics. The local AI agent can analyse files, handle multistep tasks and work across connected services without sending every document to a cloud chatbot.
NVIDIA Watch
NVIDIA has moved Groq 3 LPX into full production as a specialised inference accelerator for Vera Rubin. The important architectural bet is that agentic AI will run faster when different processors handle different stages of inference, rather than asking one heroic GPU to do every job in the…
NVIDIA Watch
NVIDIA is open-sourcing OSMO, a Kubernetes-native workflow orchestrator designed to run physical-AI work across data-centre GPUs, workstation hardware and robots. The useful idea is simple: describe the whole journey in one YAML workflow, then let OSMO route each task to the platform that can handle it.
Meta AI Watch
Meta is working with Korean chip startup Panmnesia on a CXL-based AI datacentre architecture that could place roughly 960 accelerators inside one coherence domain. The proposal matters because large AI systems spend an extraordinary amount of time waiting for their components to communicate, and ordinary networking gets less…
Google DeepMind Watch
Google DeepMind has selected four Indian startups for its new AI for the Planet accelerator in Asia Pacific, giving them three months of access to Google’s AI stack, technical support and expert mentorship for sustainability-focused projects.
TSMC Watch
TSMC plans to start using High-NA EUV lithography in high-volume manufacturing in 2030, according to reporting by Tom’s Hardware. The move matters because the technology can print finer features than today’s Low-NA EUV, but its smaller exposure field creates awkward engineering questions for enormous AI accelerators.
AMD Watch
AMD is now in the neural-rendering conversation, with work on neural lighting published through GPUOpen, according to Digital Foundry. That matters because graphics firms are running into harder power, cost and manufacturing limits: the next big frame-rate gains may come from smarter rendering rather than simply throwing more…
Microsoft AI Watch
More than 250 people gathered in Leeds, a city in West Yorkshire, England, on 12 September to protest Microsoft’s planned Skelton Grange data-centre campus. The site has planning permission and is expected to be built in early 2027, but campaigners say the project could put unnecessary pressure on…
OpenClaw Watch
RapidStart has published a white paper on deploying OpenClaw in business environments, focusing on the architecture and controls needed once an AI agent leaves a developer laptop and meets real company systems.
Meta AI Watch
Meta is reportedly asking some individual contributors in its Applied AI division whether they would like to become managers again, a quiet reversal of the flatter structure built around its AI push. The move matters because deploying advanced AI at scale still appears to require plenty of the…
