[GH-ISSUE #36] The idea of pipeline parallel strategy during Inference. #29

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opened 2026-10-26 21:10:29 +00:00 by bsakaguchi · 0 comments
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Originally created by @Adenialzz on GitHub (Jan 15, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-VL2/issues/36

Hi, thanks for open-sourcing. Could you please share the idea of pipeline parallel strategy during Inference in deployment?

I find that the load unbalance of image preprocess and vision encoder cause the gpu bubble. And I noticed that you mentioned some fine-grained strategy to alleviate this in section 4.2. Hyperparameters and Infrastructures in the paper. Could you please share these ideas?

Originally created by @Adenialzz on GitHub (Jan 15, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-VL2/issues/36 Hi, thanks for open-sourcing. Could you please share the idea of pipeline parallel strategy during Inference in deployment? I find that the load unbalance of image preprocess and vision encoder cause the gpu bubble. And I noticed that you mentioned some fine-grained strategy to alleviate this in section 4.2. Hyperparameters and Infrastructures in the paper. Could you please share these ideas?
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