nemo-mbridge-perf-cuda-graphs
Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
npx skills add NVIDIA/skills --skill nemo-mbridge-perf-cuda-graphs --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CUDA Graphs Stable documentation: @docs/training/cuda-graphs.md Card: @skills/nemo-mbridge-perf-cuda-graphs/card.yaml <!-- NVSkills CI refresh: 2026-06-15. No instruction changes. --> ## What It Is CUDA graphs capture GPU operations once and replay them with minimal host-driver overhead. Bridge supports two implementations: | `cuda_graph_impl` | Mechanism | Scope support | |---|---|---| | `"loca
What does the nemo-mbridge-perf-cuda-graphs skill do?
Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
How do I install it?
Run `npx skills add NVIDIA/skills --skill nemo-mbridge-perf-cuda-graphs --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.