gpu-optimization
This Claude Code plugin provides expert guidance on GPU optimization, covering CUDA memory management, torch.compile kernel fusion, NVIDIA Nsight profiling, Flash Attention, and model quantization (bitsandbytes, GPTQ, AWQ). It helps diagnose training bottlenecks, reduce VRAM usage, and apply optimizations like mixed precision, gradient checkpointing, and 4-bit quantization for inference and QLoRA training.
Install
Source: https://github.com/HermeticOrmus/LibreMLOps-Claude-Code/tree/HEAD/plugins/gpu-optimization
What it's made of
1 command · 1 agent · 1 skill
- Commands
- 1
- Agents
- 1
- Skills
- 1
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
Analyzed . Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
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