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Headlines · 3

  1. NVIDIA Details a Validated Kubernetes Runtime for Dynamo

    NVIDIA Technical Blog published a walkthrough for deploying and validating NVIDIA Dynamo on Kubernetes with NVIDIA AI Cluster Runtime (AICR). AICR packages Dynamo and required cluster infrastructure into version-pinned recipes with compatibility constraints, deployment checks and conformance validation, while the walkthrough compares Dynamo Frontend and Gateway API/EPP routing. The post also outlines a native Rust EPP planned for Dynamo 1.5.

    NVIDIA Technical Blog · 🔥 5
  2. Meta details Prometheus, an Ohio supercluster heading toward 1 million GPUs

    Meta published engineering details of its Prometheus supercluster in New Albany, Ohio, saying it already runs hundreds of thousands of Nvidia GPUs across several buildings and is planned to grow to roughly 1 million operating in lockstep. The first gigawatt-scale phase is finished and was used to train Meta's Muse family of models, including Muse Wonder, on Nvidia GB200 NVL72 and GB300 NVL72 racks, with Vera Rubin NVL72 planned for a third platform. Meta says a year of engineering cut training interruptions by 99%, from nearly 1,000 per 8,000 GPUs per day in mid-2025 to about 11, and that each 72-GPU rack trains on a 64-GPU slice with eight GPUs kept as spares.

    The Next Web · 🔥 0
  3. Meta details Prometheus, gigawatt-scale Ohio supercluster with ~1M GPUs for Muse models

    Meta's engineering team detailed Prometheus, a supercluster in Ohio that the company describes as gigawatt-scale and expected to hold roughly 1 million GPUs at full scale. Meta said the cluster was used to train its recently released Muse family of foundational models. The account comes from Meta's engineering blog, relayed by Techmeme.

    Techmeme · 🔥 0

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