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d-Matrix Corsair and Nvidia H100 are claimed to reach 845 tokens per second per user

d-Matrix says the pairing uses attention-FFN disaggregation for AI inference and claims roughly 50% lower latency.

2 Sources, 13h ago, first seen 13h ago

TLDR

d-Matrix says pairing Corsair with Nvidia H100 uses attention-FFN disaggregation for AI inference. The company claims 845 tokens per second per user and roughly 50% lower latency.

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2 Sources, first seen 13h ago

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Image: @dMatrix_AI on X

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2 Sources

@dMatrix@dMatrix_AI845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN disaggregation. Faster inference. Smarter compute. Read more: https://www.d-matrix.ai/accelerating-ai-inference-with-attention-ffn-disaggregation/13h
Jeff Huber 🇺🇸@jhuberRT @dMatrix_AI: 845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN…2h
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    2 Sources

    @dMatrix@dMatrix_AI845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN disaggregation. Faster inference. Smarter compute. Read more: https://www.d-matrix.ai/accelerating-ai-inference-with-attention-ffn-disaggregation/13h
    Jeff Huber 🇺🇸@jhuberRT @dMatrix_AI: 845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN…2h
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