NVIDIA
NVIDIA designs the GPUs that train and run virtually every major AI model, from the H100 to the Blackwell generation. Its CUDA software stack and data-center chips made it one of the most valuable companies on Earth and the bottleneck of the AI boom. All our NVIDIA coverage: chips, earnings and ecosystem news.
Britain invests billions in supercomputer for independence from the USA
The British government is launching a project to create a supercomputer worth over one billion pounds to help local startups develop their own semiconductors and…
SpaceX leases entire Colossus 1 data center: engineers unable to handle operations
SpaceX failed to effectively operate its Colossus 1 data center in Tennessee and decided to fully lease it out — despite acute shortage of computational power in…
Kioxia Surpasses Toyota to Become Japan's Most Valuable Company on AI Boom Wave
Kioxia Holdings, a memory chip manufacturer, has displaced Toyota from the top of the Japanese market — for the first time in history, a technology company has…
Nvidia's Real Moat Isn't Its Chips — It's CUDA, and AI Agents Have Started Rewriting It
After Code, AI Heads to Fast Food: Voice Bots Are Taking Drive-Thru Orders at McDonald's
Majestic Labs unveils Prometheus server to replace a rack of Nvidia GPUs
Xsight Labs Raises $300M for Open Chips That Link GPUs in AI Clusters
Selectel Tests Mac mini M4 Pro as a Local LLM Server for OpenClaw
Selectel tested a Mac mini with the M4 Pro chip as a portable LLM server running the OpenClaw agent. Apple Silicon's unified memory removes the main barrier to…
Thinking Machines Lab Releases Inkling-Small: Open 276B MoE Model Outperforms Its Teacher
Thinking Machines Lab has open-sourced the weights of Inkling-Small, a 276B-parameter multimodal MoE model. At a quarter of its teacher's size, it beats it on…
NVIDIA Releases Molt: A PyTorch Framework for Agentic RL in 8,600 Lines of Code
NVIDIA Transformer Engine: Fused Kernels, FP8 and BF16 for Training Transformers
A Quadrillion-Parameter LLM: When to Expect One — and Why the Answer Is "Never"
Moonshot Is Using 20,000 Nvidia Chips From Alibaba to Train Its Kimi Model
Moonshot AI Open-Sources MoonEP, the Library Used to Train the MoE Model Kimi K3
Moonshot AI released MoonEP, an expert-parallelism library, under the MIT license. It gives every GPU rank exactly S×K tokens and sped up Kimi K3 scaling by 2.5x.
Jia Yangqing, Andrew Ng and Sonia Joseph Launch AI Startups on the Same Day, Including Intent Lab
On July 29, 2026, Jia Yangqing, Andrew Ng and Sonia Joseph of Meta FAIR's JEPA team each announced their own AI startup on the same day, each in a different…