d-Matrix says the pairing uses attention-FFN disaggregation for AI inference and claims roughly 50% lower latency.
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 ago
@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/
@jhuberRT @dMatrix_AI: 845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN…@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/@jhuberRT @dMatrix_AI: 845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN…@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/@jhuberRT @dMatrix_AI: 845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN…@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/@jhuberRT @dMatrix_AI: 845 tokens/sec per user. ~50% lower latency. d-Matrix Corsair + NVIDIA H100 are redefining AI inference with attention-FFN…—
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