claudemods

来源nvidia/skills

nvidia/skills 已索引

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

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仓库

规范名称
NVIDIA/skills
GitHub 仓库 ID
1167034425
包记录
394 (历史登记记录,不代表现在仍可用)

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marketplace:anthropics/claude-plugins-official
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ok
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最近完成的处理
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范围与限制

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引用了 395 个固定源文件

  • 395 已知
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关联的包 394

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第 201–220 条,共 394 条结果

  • nemo-mbridge-multi-node-slurm技能

    Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive allocat…

  • nemo-mbridge-perf-activation-recompute技能

    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, recom…

  • nemo-mbridge-perf-cpu-offloading技能

    Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.

  • nemo-mbridge-perf-cuda-graphs技能

    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-expert-parallel-overlap技能

    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-hierarchical-context-parallel技能

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

  • nemo-mbridge-perf-megatron-fsdp技能

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

  • nemo-mbridge-perf-memory-tuning技能

    Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixes.

  • nemo-mbridge-perf-moe-comm-overlap技能

    MoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling.

  • nemo-mbridge-perf-moe-dispatcher-selection技能

    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-hardware-configs技能

    Representative, point-in-time MoE training playbooks by hardware and model family. Use them as candidate seeds, then revalidate the exact runtime, semantics, topology, and steady-state throughput.

  • nemo-mbridge-perf-moe-long-context技能

    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-optimization-workflow技能

    Evidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.

  • nemo-mbridge-perf-moe-vlm-training技能

    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-parallelism-strategies技能

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

  • nemo-mbridge-perf-sequence-packing技能

    Validate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.

  • nemo-mbridge-perf-tp-dp-comm-overlap技能

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

  • nemo-mbridge-recipe-recommender技能

    Recommend and customize Megatron Bridge library and benchmark recipes for a user's model, GPU count, hardware, sequence length, and pretrain/SFT/PEFT goal. Use when selecting a starting recipe, comparing library and benchmark configs, resi…

  • nemo-mbridge-resiliency技能

    Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.

  • nemo-relay-debug-runtime-integration技能

    Use this skill when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin or adaptive wiring problems.

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