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NVIDIA AI Infrastructure
NVIDIA
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NVIDIA AI Infrastructure
NVIDIA
@NVIDIAAIInfra
AI factories for the era of AI reasoning.
Santa Clara, CA
nvidia.com/en-us/data-cen…
Joined November 2009
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    NVIDIA AI Infrastructure
    NVIDIA
    @NVIDIAAIInfra
    Aug 5
    AI agents work in loops. The model reasons → the CPU executes → the result comes back → repeat. Every step depends on the step before it. More cores can't speed up a single loop. Only a faster core can. NVIDIA Vera is a max single-threaded CPU at scale — designed so every
    AI Innovators Adopt NVIDIA Vera \u2014 Why Max Single-Threaded CPU at Scale Matters
  • user avatar
    NVIDIA AI Infrastructure
    NVIDIA
    @NVIDIAAIInfra
    Aug 4
    As workloads shift to agentic reasoning, the network has become the decisive variable in GPU utilization and token economics. Join Gilad Shainer to explore how open standards and engineered performance compose into the fabric of the AI factory, and how NVIDIA Spectrum-X Ethernet
    Scaling the AI Factory: Open Networking for the Gigascale Era
  • user avatar
    NVIDIA AI Infrastructure
    NVIDIA
    @NVIDIAAIInfra
    Aug 4
    FLUX 3 Video, trained on NVIDIA GB200 NVL72, is a new bar for what AI video can do. Congrats to the @bfl_ai team on GA. 👏 Learn more ⤵️
    user avatar
    Black Forest Labs
    @bfl_ai
    Aug 4
    FLUX 3 Video is here. Serious, fun, creative, real, cinematic, whatever you need it to be. Native audio, Text to Video, Image to Video with multiple frames, video continuation, dialogue in multiple languages. Comes with Draft mode so you can explore ideas fast at a fraction of
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  • user avatar
    NVIDIA AI Infrastructure
    NVIDIA
    @NVIDIAAIInfra
    Aug 4
    📣 At #FMS2026, we're showing how accelerated computing enables AI apps to access storage directly, making it fast enough to act like memory and secure by design. ✅ NVIDIA cuFile APIs open-sourced with @Google, @intel, @Meta, and @nvidia as maintainers ✅ Optimizing memory and
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  • user avatar
    NVIDIA AI Infrastructure
    NVIDIA
    @NVIDIAAIInfra
    Aug 3
    The answer isn't always more GPUs, it's better utilization of the ones you have. Our tutorial shows how KAI Scheduler and @vclusterlabs solve one of the most common GPU infrastructure challenges: giving teams the isolation they need without splitting the hardware. Three teams
    Image

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