nemo-mbridge-perf-moe-optimization-workflow

MoE Training Optimization Workflow Stable docs: @docs/training/moe-optimization.md Card: @skills/nemo-mbridge-perf-moe-optimization-workflow/card.yaml Source: Scalable Training of MoE Models with Megatron Core Quick Reference Think in terms of the paper's Three Walls: memory wall communication wall compute and host-overhead wall MoE tuning is iterative. Fixing one wall usually exposes the next one, so the best workflow is: fit first, scale second, profile third, then retune. First Answer Checklist Show more Installs 552 Repository nvidia/skills GitHub Stars 1.3K First Seen May 29, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass