Technology

rack-scale systems

3 synchronized stories carry this tag.

Qualcomm enters the data-centre AI race with Dragonfly and a Meta commitment

Qualcomm unveiled its Dragonfly data-centre roadmap, including C1000 CPUs, AI300 accelerators, and high-bandwidth cache, and announced a multi-generation agreement with Meta.

Why it matters: A major mobile-chip supplier is making a full-stack attempt to enter AI data centres, adding another potential alternative to incumbent accelerator platforms.

Read storyOriginal source · qualcomm.com

NVIDIA puts the seven-chip Vera Rubin platform into production

NVIDIA said seven Vera Rubin platform chips were in full production, spanning the Vera CPU, Rubin GPU, NVLink 6, ConnectX-9, BlueField-4, Spectrum-6, and the integrated Groq 3 LPU. The company positioned the racks as one system for pretraining, post-training, test-time scaling, and agentic inference, with partner products expected in the second half of 2026.

Why it matters: AI infrastructure competition is shifting from individual accelerators to co-designed rack and pod systems that optimize compute, networking, storage, memory, power, and cooling together.

Read storyOriginal source · nvidianews.nvidia.com

OpenAI commits to six gigawatts of AMD GPUs

OpenAI and AMD signed a multi-generation agreement targeting six gigawatts of accelerator deployments, beginning with one gigawatt of MI450 systems in the second half of 2026.

Why it matters: The agreement diversifies OpenAI's accelerator supply while tying future hardware deployment, technical milestones and AMD equity incentives unusually closely together.

Read storyOriginal source · openai.com