Hardware

Chips, accelerators and the physical substrate AI runs on.

  • Broadcom Jericho4

    Broadcom’s router for distributed AI, built to link over a million accelerators across separate data centres.

  • NVIDIA Rubin CPX

    A new class of Rubin GPU on cheaper GDDR7 memory, aimed at the context phase of long-context inference.

  • NVIDIA Groq 3 LPX (LP30 LPU)

    NVIDIA’s first SRAM-based low-latency inference accelerator, built on licensed Groq technology, sitting alongside Rubin.

  • NVIDIA B300 (Blackwell Ultra)

    Keeps Blackwell’s two dies and node but raises NVFP4 compute by 1.5x and memory to 288 GB.

  • NVIDIA Rubin GPU

    Moves to HBM4 and grows from 208bn to 336bn transistors compared with Blackwell Ultra.

  • NVIDIA Vera Rubin Superchip

    Replaces Grace with the new Vera CPU and the Blackwell GPUs with two Rubin GPUs on HBM4.

  • NVIDIA GB200 Grace Blackwell Superchip

    Pairs Grace with two dual-die Blackwell GPUs and adds FP4 inference.

  • NVIDIA B200

    Moves from one die to two on TSMC 4NP and adds FP4 inference.

  • NVIDIA H200

    Same Hopper compute as H100, with 141 GB of HBM3e at 4.8 TB/s, which NVIDIA says nearly doubles inference speed on Llama…

  • NVIDIA H100

    Introduced FP8 and the Transformer Engine, which NVIDIA said can speed up transformer networks as much as 6x versus the previous generation.