nemo-mbridge-perf-cpu-offloading
Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
npx skills add NVIDIA/skills --skill nemo-mbridge-perf-cpu-offloading --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.
# CPU Offloading ## References - Stable docs: @docs/training/cpu-offloading.md - Structured metadata: @skills/nemo-mbridge-perf-cpu-offloading/card.yaml ## What It Is Two independent mechanisms to move data from GPU to CPU memory: | Mechanism | Config namespace | What gets offloaded | PP restriction | |---|---|---|---| | Activation offloading | `model.cpu_offloading*` | Activations (and optionally
What does the nemo-mbridge-perf-cpu-offloading skill do?
Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
How do I install it?
Run `npx skills add NVIDIA/skills --skill nemo-mbridge-perf-cpu-offloading --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.