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GPU-aware execution layer for DeepSeek Harness

zytsyj/dsh-gpu · skills

GPU-aware execution layer for DeepSeek Harness: gpustatus / gpuexec / gpurunbg tools, auto card selection, per-step GPU context.

★ 3GitHub stars
0Forks
2026-08-17Last updated
TypeScriptLanguage
MITLicense

Key features

  • gpu_status — one query, every device: memory used/total, SM utilization, temperature, and a free/busy verdict.
  • nvidia-smi ignores CUDA_VISIBLE_DEVICES — it always reports physical indices.
  • A device is busy at or above 80% memory used or 50% utilization (both configurable).
  • gpu_exec — one-shot command with a selected card: CUDA_VISIBLE_DEVICES= is passed through the mounted ctx.shell executor's environment.
  • select count cards for multi-GPU commands.

Install command

dsh plugin --profile web add github:zytsyj/dsh-gpu
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