March 18, 2024

NVIDIA Blackwell platform announced

NVIDIA announced the Blackwell GPUGraphics processing unit — a chip optimized for parallel math; now used for graphics, ML, and scientific computing. platform at GTC on March 18, 2024 — GB200 Grace Blackwell Superchips and B200 accelerators built for trillion-parameter generative AIModels that create new content — text, images, audio, or code — from learned patterns..

What it was for

NvidiaBlackwell succeeded Hopper as NVIDIA's AI compute generation: second-gen transformerA neural network architecture using attention — the foundation of modern large language models. engines, fifth-gen NVLink, and GB200 systems pairing two B200 GPUs with a Grace CPUCentral processing unit — the primary chip that executes program instructions.. Jensen Huang called it a processor for the generative AIModels that create new content — text, images, audio, or code — from learned patterns. era — the hardware layer behind the next wave of frontier model training and inferenceRunning a trained model to produce predictions — as opposed to the training phase that learns weights..

People

  • Jensen Huangceo

Companies

  • NVIDIA

Why it's here

Blackwell defined the GPUGraphics processing unit — a chip optimized for parallel math; now used for graphics, ML, and scientific computing. generation that trained and served 2024–2026 frontier models.

Why it mattered

It raised the ceiling on AI factory scale, efficiency, and real-time trillion-parameter inferenceRunning a trained model to produce predictions — as opposed to the training phase that learns weights..

What it solved

Hopper-era clusters could not meet the cost and energy demands of next-gen generative AIModels that create new content — text, images, audio, or code — from learned patterns. workloads.

Media

  • Nvidia
    ImageNvidia

    Nvidia, Public domain, via Wikimedia Commons

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