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@EpochAIResearch· @EpochAIResearch · X·· 2026-08-27AI 评分25
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ATTN-FFN 分离架构前景可期但尚未得到验证,因为 Nvidia 尚未发布该系统的任何真实基准测试。 关键挑战在于确保 GPU 与 LPU 之间的连接保持足够低的延迟,以避免在高解码速度下形成瓶颈。这是因为模型中每个完整注意力层都需要大量通信来来回传输数据。

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ATTN-FFN disaggregation is promising but not yet proven, as Nvidia has not published any real benchmarks of this system.

The key challenge will be ensuring that the connection between the GPU and LPU maintains low enough latency to avoid bottlenecking at high decode speeds. This is because you need a lot of communication to transfer data back and forth for each full-attention layer in the model.

来源:@EpochAIResearch · x.com