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[GH-ISSUE #185] How can I use DeepGemm with sm120a（5060）? #103

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opened 2026-10-26 21:12:40 +00:00 by bsakaguchi · 2 comments
bsakaguchi commented 2026-10-26 21:12:40 +00:00
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Originally created by @Lyxien on GitHub (Sep 4, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/185

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I found that the code generated by DeepGemm contains the tcgen05.fence instruction (in github.com/deepseek-ai/DeepGEMM@ea9c5d9270/deep_gemm/include/deep_gemm/common/sm100_utils.cuh (L162)), but SM120 does not support this instruction.

However, if I generate code for SM90, then the wgmm instructions are missing…

So I would like to ask, how can I use DeepGemm on SM120a?

Originally created by @Lyxien on GitHub (Sep 4, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/185 <img width="2222" height="610" alt="Image" src="https://github.com/user-attachments/assets/8fe15713-d6a8-488b-a305-2f429a2bc5e2" /> I found that the code generated by DeepGemm contains the `tcgen05.fence` instruction (in https://github.com/deepseek-ai/DeepGEMM/blob/ea9c5d9270226c5dd7a577c212e9ea385f6ef048/deep_gemm/include/deep_gemm/common/sm100_utils.cuh#L162), but SM120 does not support this instruction. However, if I generate code for SM90, then the `wgmm `instructions are missing… So I would like to ask, how can I use DeepGemm on SM120a?
bsakaguchi commented 2026-10-26 21:12:42 +00:00
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@LyricZhao commented on GitHub (Sep 10, 2025):

Sorry, currently DeepGEMM does not support SM120 (also no plan to support). Only SM90 and SM100 are supported.

<!-- gh-comment-id:3274206305 --> @LyricZhao commented on GitHub (Sep 10, 2025): Sorry, currently DeepGEMM does not support SM120 (also no plan to support). Only SM90 and SM100 are supported.
bsakaguchi commented 2026-10-26 21:12:43 +00:00
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@cyysky commented on GitHub (Dec 8, 2025):

https://github.com/NVIDIA/TensorRT-LLM/tree/main/cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_blockscale_gemm/6kd_blockwise_gemm

is this help?

<!-- gh-comment-id:3627904617 --> @cyysky commented on GitHub (Dec 8, 2025): https://github.com/NVIDIA/TensorRT-LLM/tree/main/cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_blockscale_gemm/6kd_blockwise_gemm is this help?
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