Comments (2)
Thanks for your suggestion, Kapil. SuperBench mainly focus on Cloud GPUs for both training and inference and we don't have plan to support edge GPU officially now. I think Jetson should support CUDA, if so, you can run SuperBench on it directly. If you have interests, please feel free to submit PR on our repo to support Jetson devices.
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Thanks again for your suggestion, @ksachdeva. Do you have any more suggestions or comments? If not, I will close this issue.
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Related Issues (20)
- V0.8.0 Release Plan
- V0.8.0 Test Plan
- [Enhancement] - Add HPL random generator to gemm-flops with ROCm
- pytorch cannot find libopen-orted-mpir.so HOT 2
- Run benchmark failed (superbenchmark-0.8.0) HOT 2
- superbench failed at default most typical run config HOT 8
- why is it probing for nviida when running on MI? HOT 7
- Some test does not support CS 8.9(RTX 4080/4090) HOT 2
- A question about Hived HOT 5
- cublaslt_gemm fp8 does not work with RTX 40 HOT 4
- sb deploy fails due to permission issue, HOT 10
- Superbench result contains null characters. HOT 1
- out-of-date reference link HOT 1
- V0.9.0 Test Plan
- Error: parsing sudo passwords containing special symbols HOT 1
- V0.10.0 Release Plan
- Urgent: while executing the superbench, it's failing (UBUNTU) HOT 2
- default gpu_burn test fails with cp error HOT 2
- Not able to test IB-TRAFFIC for NDR(H-100) Cluster HOT 3
- V0.10.0 Test Plan
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