nemo-mbridge-perf-activation-recompute

nemo-mbridge-perf-activation-recompute is an MLOps & model serving skill for AI agents, published by NVIDIA-NeMo in the Megatron-Bridge repository on GitHub. Skillspace rates nemo-mbridge-perf-activation-recompute D (63/100) and it passed the safety scan; the rating is based on static analysis only.

Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute. Use for activation memory OOMs or regressions involving recompute_granularity, recompute_num_layers, recompute_modules, recompute_method, selective recompute, full recompute, or activation checkpointing.

Grade
D
Quality
63 / 100
Safety
Passed
GitHub stars
909

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubNVIDIA-NeMo/Megatron-Bridge

Our review

Architecture
80 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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