[GH-ISSUE #269] If the Ascend team integrates EP-related capabilities into DeepEP, will the community welcome it? #198

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opened 2026-10-26 09:56:24 +00:00 by bsakaguchi · 2 comments
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Originally created by @Yael-X on GitHub (Jun 30, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepEP/issues/269

Originally created by @Yael-X on GitHub (Jun 30, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepEP/issues/269
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@LyricZhao commented on GitHub (Jul 2, 2025):

Sure! But I guess the whole repo should be refactored, as NVIDIA and Ascend devices are totally different. I guess a brand-new repo would be more appropriate 👍🏻, e.g. https://github.com/vllm-project/vllm-ascend

<!-- gh-comment-id:3026670577 --> @LyricZhao commented on GitHub (Jul 2, 2025): Sure! But I guess the whole repo should be refactored, as NVIDIA and Ascend devices are totally different. I guess a brand-new repo would be more appropriate 👍🏻, e.g. https://github.com/vllm-project/vllm-ascend
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@Yael-X commented on GitHub (Jul 3, 2025):

Sure! But I guess the whole repo should be refactored, as NVIDIA and Ascend devices are totally different. I guess a brand-new repo would be more appropriate 👍🏻, e.g. https://github.com/vllm-project/vllm-ascend

Actually,We plan to develop an Ascend-optimized EP communication backend ​​with strict adherence to​​ DeepEP's core API specifications. By upstreaming this module, DeepEP ​​would​​ seamlessly extend its support to Ascend devices, allowing major users such as ByteDance and Tencent to deploy ​​a single DeepEP codebase across heterogeneous clusters​​ (NVIDIA ​​or​​ Ascend). Crucially, this ​​ensures​​ interface consistency for upper-layer frameworks (e.g., vLLM, SGLang), ​​removing​​ the need for additional adaptations and reducing ecosystem fragmentation.

<!-- gh-comment-id:3030499731 --> @Yael-X commented on GitHub (Jul 3, 2025): > Sure! But I guess the whole repo should be refactored, as NVIDIA and Ascend devices are totally different. I guess a brand-new repo would be more appropriate 👍🏻, e.g. https://github.com/vllm-project/vllm-ascend Actually,We plan to develop an Ascend-optimized EP communication backend ​​with strict adherence to​​ DeepEP's core API specifications. By upstreaming this module, DeepEP ​​would​​ seamlessly extend its support to Ascend devices, allowing major users such as ByteDance and Tencent to deploy ​​a single DeepEP codebase across heterogeneous clusters​​ (NVIDIA ​​or​​ Ascend). Crucially, this ​​ensures​​ interface consistency for upper-layer frameworks (e.g., vLLM, SGLang), ​​removing​​ the need for additional adaptations and reducing ecosystem fragmentation.
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deepseek-ai/DeepEP#198
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