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Search MCP servers and agent skills by name, description, category or topic — 4,153 results.
microsoft/azure-microsoft-playwright-testing-ts
Playwright tests at scale on Azure
microsoft/azure-monitor-opentelemetry-ts
Application Insights tracing and metrics
NVIDIA/CUDA-Q/cudaq-guide
CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.
NVIDIA/DALI/dali-dynamic-mode
Use when writing DALI data loading or preprocessing code with `nvidia.dali.experimental.dynamic` (ndd), or when converting DALI pipeline-mode code to dynamic mode, or when the user...
NVIDIA/Megatron-Bridge/build-and-dependency
Dev environment setup for Megatron Bridge — container-based development, uv package management, lockfile regeneration, adding dependencies, Slurm container usage, and common build...
NVIDIA/Megatron-Bridge/bump-dependency
Bump a pinned dependency (TransformerEngine, Megatron-LM, NRX, etc.), regenerate the lockfile, open a PR, and drive it to green by attaching a watchdog to the "CICD NeMo" workflow...
NVIDIA/Megatron-Bridge/cicd
CI/CD reference for Megatron Bridge — pipeline structure, commit and PR workflow, CI failure investigation, and common failure patterns.
NVIDIA/Megatron-Bridge/perf-activation-recompute
Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute.
NVIDIA/Megatron-Bridge/perf-cpu-offloading
Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
NVIDIA/Megatron-Bridge/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.
NVIDIA/Megatron-Bridge/perf-hierarchical-context-parallel
Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
NVIDIA/Megatron-Bridge/perf-moe-comm-overlap
MoE expert-parallel communication overlap in Megatron Bridge.
NVIDIA/Megatron-Bridge/perf-moe-dispatcher-selection
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage.
NVIDIA/Megatron-Bridge/perf-moe-hardware-configs
Representative MoE training playbooks by hardware platform and model family.
NVIDIA/Megatron-Bridge/perf-moe-long-context
Long-context MoE training guidance for Megatron Bridge.
NVIDIA/Megatron-Bridge/perf-sequence-packing
Validate and use packed sequences and long-context training in Megatron-Bridge, distinguishing offline packed SFT for LLMs from in-batch packing for VLMs, and applying the right CP...
NVIDIA/Megatron-Bridge/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.
NVIDIA/Megatron-Bridge/recipe-recommender
Recommend and customize Megatron Bridge recipes for a user's model, GPU count, and training goal.