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.

Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification. Use when the user asks about hierarchical_context_parallel_sizes, a2a+p2p, CP scaling beyond KV heads, or multi-level context parallelism.

Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

MoE expert-parallel communication overlap in Megatron Bridge. Use when the user asks about overlap_moe_expert_parallel_comm, MoE dispatch overlap, flex dispatcher, DeepEP overlap, or expert wgrad scheduling.

Sequence packing and long-context training in Megatron Bridge. Use when the user asks about packed sequences, sequence packing, long context training, PackedSequenceSpecs, pack_sequences_in_batch, or CP with packing.

Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.

Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine. Use when the user asks about fault tolerance, straggler detection, hang detection, automatic restart, preemption, in-process restart, checkpoint recovery, or nvidia-resiliency-ext.

Operational guide for enabling packed sequences and long-context config paths in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.