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deepseek-v4.1POST

A6000 双卡 TP=2 + DGX Spark 混合部署 V4.1 Flash 的移植记录

作者把 TensorFold 移植到 Ampere A6000 双卡 TP=2,专家权重留在 GPU、其余权重放 DGX Spark,384GB 内存 + 96GB 显存,代码完成约 75% 待首测。

Jeremy Tregunna
@noozie6 天前收录原推发布于 2026.10.24
Jeremy Tregunna @noozie原推发布于 2026.10.24
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Spent my evening and now part of my morning porting TensorFold to run on Ampere generation A6000 GPUs in TP=2, while keeping all experts on the GPUs, all other weights on a dgx spark, and yet remaining things in memory on the GPU node. Yeah I'm trying to see how far I can push the hardware I have, and DeepSeek V4.1 Flash 1017 seems like it was built to help me with that. 384GB ram, 48GB x 2 VRAM, 128GB Unified memory and an rdma link between gpu node and spark... About 75% done the code prepping for first test today.

x.com/noozie/status/2114020044443165011采集于 2026.10.25 12:03