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|\n|------|-------|----------------|--------------|\n| Generate-only | No `--deploy` | Not needed | Renders templates, writes YAMLs to disk |\n| Dry-run | `--deploy --dry-run` | Needed | Generates + validates against cluster, doesn't apply |\n\n## Examples\n\n```bash\n# Preview generated files (no cluster needed)\nl8k generate --user-config cluster-config.yaml \\\n  --fabric ethernet --deployment-type sriov \\\n  --save-deployment-files .\u002Foutput\n\n# Dry-run against live cluster\nl8k generate --user-config cluster-config.yaml \\\n  --fabric ethernet --deployment-type sriov \\\n  --save-deployment-files .\u002Foutput \\\n  --deploy --kubeconfig ~\u002F.kube\u002Fconfig --dry-run\n\n# Agent mode: get manifest list as JSON\nl8k generate --user-config cluster-config.yaml \\\n  --fabric ethernet --deployment-type sriov \\\n  --save-deployment-files .\u002Foutput \\\n  --deploy --dry-run --kubeconfig ~\u002F.kube\u002Fconfig \\\n  --output json --yes 2>\u002Fdev\u002Fnull\n\n# Schema 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Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1323,1326,1329],{"name":1324,"slug":1325,"type":15},"Documentation","documentation",{"name":1327,"slug":1328,"type":15},"MCP","mcp",{"name":1330,"slug":1331,"type":15},"Search","search",21777,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FNemoClaw","2026-07-20T06:00:01.461044",{"slug":1336,"name":1336,"fn":1337,"description":1338,"org":1339,"tags":1340,"stars":1348,"repoUrl":1349,"updatedAt":1350},"mcore-build-and-dependency","manage Megatron-LM development environments","Container-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1341,1344,1345],{"name":1342,"slug":1343,"type":15},"Containers","containers",{"name":20,"slug":21,"type":15},{"name":1346,"slug":1347,"type":15},"Python","python",17049,"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FMegatron-LM","2026-07-27T06:06:11.249662",{"slug":1352,"name":1352,"fn":1353,"description":1354,"org":1355,"tags":1356,"stars":1348,"repoUrl":1349,"updatedAt":1361},"mcore-bump-base-image","update NVIDIA PyTorch base images","Bump the NVIDIA PyTorch base image (`nvcr.io\u002Fnvidia\u002Fpytorch:YY.MM-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker\u002F.ngc_version.dev` and GitLab CI in `.gitlab\u002Fstages\u002F01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1357,1360],{"name":1358,"slug":1359,"type":15},"CI\u002FCD","ci-cd",{"name":20,"slug":21,"type":15},"2026-07-14T05:25:59.97109",{"slug":1363,"name":1363,"fn":1364,"description":1365,"org":1366,"tags":1367,"stars":1348,"repoUrl":1349,"updatedAt":1373},"mcore-cicd","manage CI\u002FCD pipelines for Megatron-LM","CI\u002FCD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request\u002FBRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1368,1369,1370],{"name":1358,"slug":1359,"type":15},{"name":20,"slug":21,"type":15},{"name":1371,"slug":1372,"type":15},"GitHub","github","2026-07-27T06:06:12.278222",{"slug":1375,"name":1375,"fn":1376,"description":1377,"org":1378,"tags":1379,"stars":1348,"repoUrl":1349,"updatedAt":1387},"mcore-create-issue","investigate CI failures and create issues","Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1380,1383,1384],{"name":1381,"slug":1382,"type":15},"Debugging","debugging",{"name":1371,"slug":1372,"type":15},{"name":1385,"slug":1386,"type":15},"Triage","triage","2026-07-14T05:25:57.442089",{"slug":1389,"name":1389,"fn":1390,"description":1391,"org":1392,"tags":1393,"stars":1348,"repoUrl":1349,"updatedAt":1400},"mcore-linting-and-formatting","lint and format Megatron-LM code","Linting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1394,1397],{"name":1395,"slug":1396,"type":15},"Best Practices","best-practices",{"name":1398,"slug":1399,"type":15},"Code Analysis","code-analysis","2026-07-14T05:25:56.18433",{"slug":1402,"name":1402,"fn":1403,"description":1404,"org":1405,"tags":1406,"stars":1348,"repoUrl":1349,"updatedAt":1414},"mcore-migrate-gpt-to-hybrid","migrate Megatron-LM models to HybridModel","Migration guide for moving Megatron Core GPTModel checkpoints, model providers, training commands, and layer mappings to HybridModel.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1407,1410,1413],{"name":1408,"slug":1409,"type":15},"Machine Learning","machine-learning",{"name":1411,"slug":1412,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-07-17T06:07:11.777011",{"slug":1416,"name":1416,"fn":1417,"description":1418,"org":1419,"tags":1420,"stars":1348,"repoUrl":1349,"updatedAt":1427},"mcore-onboard-gb200-1node-tests","onboard functional tests for GB200","Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1421,1424],{"name":1422,"slug":1423,"type":15},"QA","qa",{"name":1425,"slug":1426,"type":15},"Testing","testing","2026-07-14T05:25:53.673039",{"slug":1429,"name":1429,"fn":1430,"description":1431,"org":1432,"tags":1433,"stars":1348,"repoUrl":1349,"updatedAt":1438},"mcore-run-on-slurm","launch distributed training jobs on SLURM","How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1434,1435],{"name":20,"slug":21,"type":15},{"name":1436,"slug":1437,"type":15},"Infrastructure","infrastructure","2026-07-14T05:25:49.362534",{"slug":1440,"name":1440,"fn":1441,"description":1442,"org":1443,"tags":1444,"stars":1348,"repoUrl":1349,"updatedAt":1452},"mcore-split-pr","split pull requests to reduce review load","Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1445,1448,1449],{"name":1446,"slug":1447,"type":15},"Code Review","code-review",{"name":1371,"slug":1372,"type":15},{"name":1450,"slug":1451,"type":15},"Pull Requests","pull-requests","2026-07-14T05:26:01.226578",{"slug":1454,"name":1454,"fn":1455,"description":1456,"org":1457,"tags":1458,"stars":1348,"repoUrl":1349,"updatedAt":1461},"mcore-testing","run and manage Megatron-LM tests","Test system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1459,1460],{"name":1422,"slug":1423,"type":15},{"name":1425,"slug":1426,"type":15},"2026-07-14T05:25:54.928983",{"slug":1463,"name":1463,"fn":1464,"description":1465,"org":1466,"tags":1467,"stars":1348,"repoUrl":1349,"updatedAt":1470},"nightly-sync","manage nightly main-to-dev sync workflows","Domain knowledge for the nightly main-to-dev sync workflow. Covers merge strategy, CI architecture, failure investigation, and known issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":9},[1468,1469],{"name":1294,"slug":1295,"type":15},{"name":1358,"slug":1359,"type":15},"2026-07-30T05:29:03.275638",496]