The open-source stalwart is betting on Day 0 support for NVIDIA’s Rubin platform to solve the “science project to production” gap that’s plaguing CDOs everywhere.

AI infrastructure is changing the physics of the data centre. Traditional, monolithic facilities cannot keep pace with this ...

Advanced Micro Devices is positioned for outsized growth driven by both GPU and CPU strength in AI data centers. Learn more ...

Super Micro Computer (SMCI) is uniquely positioned to deliver next-gen GPU rack systems rapidly, with strong demand and a growing backlog exceeding $13B. SMCI’s DCBBS offering is critical for future ...

Wolfe Research raised its price target on Nvidia to $275 from $250 saying rack-scale systems, higher average selling prices ...

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...

This news release constitutes a “designated news release” for the purposes of the Company’s amended and restated ...

AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.

Tulkas T100 optical GPU could transform AI inference, tackling massive computations previously impossible for current silicon ...

Nvidia Corp. today announced a new flagship graphics processing unit, Rubin, that provides five times the inference performance of Blackwell. The GPU made its debut at CES alongside five other data ...

One of the nastier bottlenecks in agentic AI is the KV cache, a huge temporary log used to build context while queries run. A lot of that data sits in… One of the nastier bottlenecks in agentic AI is ...

Just how much does Elon Musk care about speedy work? Enough to offer a free Cybertruck to an xAI employee as an incentive.