Hardware
Chips, accelerators and the physical substrate AI runs on.
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Broadcom Jericho4
Broadcom’s router for distributed AI, built to link over a million accelerators across separate data centres.
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NVIDIA Rubin CPX
A new class of Rubin GPU on cheaper GDDR7 memory, aimed at the context phase of long-context inference.
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NVIDIA Groq 3 LPX (LP30 LPU)
NVIDIA’s first SRAM-based low-latency inference accelerator, built on licensed Groq technology, sitting alongside Rubin.
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NVIDIA B300 (Blackwell Ultra)
Keeps Blackwell’s two dies and node but raises NVFP4 compute by 1.5x and memory to 288 GB.
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NVIDIA Rubin GPU
Moves to HBM4 and grows from 208bn to 336bn transistors compared with Blackwell Ultra.
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NVIDIA Vera Rubin Superchip
Replaces Grace with the new Vera CPU and the Blackwell GPUs with two Rubin GPUs on HBM4.
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NVIDIA GB200 Grace Blackwell Superchip
Pairs Grace with two dual-die Blackwell GPUs and adds FP4 inference.
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NVIDIA B200
Moves from one die to two on TSMC 4NP and adds FP4 inference.
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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…
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NVIDIA H100
Introduced FP8 and the Transformer Engine, which NVIDIA said can speed up transformer networks as much as 6x versus the previous generation.
