10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 600 ms
skillnvidia/skillsrecord
- nemo-mbridge-perf-tp-dp-comm-overlap
Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
- nemo-mbridge-perf-tp-dp-comm-overlap
skillnvidia/skillsrecord
- nemo-mbridge-perf-expert-parallel-overlap
Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex dispatcher backends such as DeepEP and HybridEP.
- nemo-mbridge-perf-expert-parallel-overlap
skillnvidia/skillsrecord
- nemo-mbridge-perf-moe-comm-overlap
MoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling.
- nemo-mbridge-perf-moe-comm-overlap
skillnvidia/skillsrecord
- nemo-mbridge-perf-hierarchical-context-parallel
Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
- nemo-mbridge-perf-hierarchical-context-parallel
skillnvidia/skillsrecord
- 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.
- nemo-mbridge-perf-cuda-graphs
skillnvidia/skillsrecord
- nemo-mbridge-perf-megatron-fsdp
Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
- nemo-mbridge-perf-megatron-fsdp
skillnvidia/skillsrecord
- nemo-mbridge-perf-moe-dispatcher-selection
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work.
- nemo-mbridge-perf-moe-dispatcher-selection
skillnvidia/skillsrecord
- nemo-mbridge-perf-moe-vlm-training
Practical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.
- nemo-mbridge-perf-moe-vlm-training
skillnvidia/skillsrecord
- nemo-mbridge-perf-parallelism-strategies
Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.
- nemo-mbridge-perf-parallelism-strategies
skillnvidia/skillsrecord
- nemo-mbridge-perf-moe-long-context
Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.
- nemo-mbridge-perf-moe-long-context
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