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Agent Skills in category: Uncategorized

83059 skills match this category. Browse curated collections and explore related Agent Skills.

nvidia-cuopt-routing-api-python

Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when

NVIDIA
NVIDIA
103

nvidia-cuopt-routing-formulation

Vehicle routing (VRP, TSP, PDP) — problem types and data requirements.

NVIDIA
NVIDIA
103

nvidia-cuopt-server-api-python

cuOpt REST server — start server, endpoints, Python/curl client examples.

NVIDIA
NVIDIA
103

nvidia-cuopt-server-common

cuOpt REST server — what it does and how requests flow. Domain concepts;

NVIDIA
NVIDIA
103

nvidia-cuopt-skill-evolution

After solving a non-trivial problem, detect generalizable learnings and

NVIDIA
NVIDIA
103

nvidia-cuopt-user-rules

Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server).

NVIDIA
NVIDIA
103

nvidia-dali-dynamic-mode

Use when writing DALI data loading or preprocessing code with `nvidia.dali.experimental.dynamic`

NVIDIA
NVIDIA
103

nvidia-deepstream-dev

NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API.

NVIDIA
NVIDIA
103

nvidia-deepstream-import-vision-model

'Use this skill to bring any vision model from HuggingFace or NVIDIA

NVIDIA CORPORATION
NVIDIA CORPORATION
103

nvidia-megatron-bridge-adding-model-support

Guide for adding support for new LLM or VLM models in Megatron-Bridge.

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-build-and-dependency

Dev environment setup for Megatron Bridge — container-based development,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-bump-dependency

Bump a pinned dependency (TransformerEngine, Megatron-LM, NRX, etc.),

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-cicd

CI/CD reference for Megatron Bridge — pipeline structure, commit and

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-linting-and-formatting

Code style and quality rules for Megatron Bridge — ruff configuration,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-mlm-bridge-training

Run Megatron-LM (MLM) and Megatron Bridge training with mock or real

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-multi-node-slurm

Convert single-node scripts to multi-node Slurm sbatch jobs and debug

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-nemo-rl-e2e-testing

External NeMo-RL end-to-end validation workflow for Megatron-Bridge model/provider

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-parity-testing

Structured framework for verifying numerical parity of HF-to-MCore weight

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-activation-recompute

Validate and use selective and full activation recompute in Megatron

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-cpu-offloading

Validate and use CPU offloading in Megatron Bridge, including layer-level

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-cuda-graphs

Validate and use CUDA graph capture in Megatron Bridge, including local

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-expert-parallel-overlap

Validate and use MoE expert-parallel communication overlap in Megatron-Bridge,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-hierarchical-context-parallel

Operational guide for enabling hierarchical context parallelism in Megatron-Bridge,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-megatron-fsdp

Operational guide for enabling Megatron FSDP in Megatron-Bridge, including

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-memory-tuning

Techniques for reducing peak GPU memory in Megatron Bridge — expandable

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-moe-comm-overlap

MoE expert-parallel communication overlap in Megatron Bridge. Covers

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-moe-dispatcher-selection

Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP)

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-moe-hardware-configs

Representative MoE training playbooks by hardware platform and model

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-moe-long-context

Long-context MoE training guidance for Megatron Bridge. Covers CP sizing,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-moe-optimization-workflow

Systematic workflow for MoE training optimization in Megatron Bridge,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-moe-vlm-training

Practical guidance for training MoE VLMs in Megatron Bridge. Compares

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-parallelism-strategies

Operational guide for choosing and combining parallelism strategies in

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-sequence-packing

Validate and use packed sequences and long-context training in Megatron-Bridge,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-perf-tp-dp-comm-overlap

Operational guide for enabling TP, DP, and PP communication overlap in

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-recipe-recommender

Recommend and customize Megatron Bridge recipes for a user's model, GPU

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-resiliency

Resiliency features in Megatron Bridge including fault tolerance, straggler

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-testing

Testing reference for Megatron Bridge — unit and functional test layout,

NVIDIA
NVIDIA
103

nvidia-megatron-bridge-verl-e2e-testing

External verl end-to-end validation workflow for Megatron-Bridge model/provider

NVIDIA
NVIDIA
103

nvidia-megatron-core-build-and-dependency

Container-based dev environment setup and dependency management for Megatron-LM.

NVIDIA
NVIDIA
103

nvidia-megatron-core-bump-base-image

Bump the NVIDIA PyTorch base image using the nvcr.io/nvidia/pytorch YY.MM py3 tag

NVIDIA
NVIDIA
103

nvidia-megatron-core-cicd

CI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope

NVIDIA
NVIDIA
103

nvidia-megatron-core-create-issue

Investigate a failing GitHub Actions run or job and create a GitHub issue

NVIDIA
NVIDIA
103

nvidia-megatron-core-linting-and-formatting

Linting and formatting for Megatron-LM. Covers running autoformat.sh,

NVIDIA
NVIDIA
103

nvidia-megatron-core-nightly-sync

Domain knowledge for the nightly main-to-dev sync workflow. Covers merge

NVIDIA
NVIDIA
103

nvidia-megatron-core-onboard-gb200-1node-tests

Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped

NVIDIA
NVIDIA
103

nvidia-megatron-core-respond-to-issue

Research and draft a response to a GitHub issue or question from an external

NVIDIA
NVIDIA
103

nvidia-megatron-core-run-on-slurm

How to launch distributed Megatron-LM training jobs on a SLURM cluster.

NVIDIA
NVIDIA
103

nvidia-megatron-core-split-pr

Split a PR into multiple PRs to reduce the number of required CODEOWNERS

NVIDIA
NVIDIA
103

nvidia-megatron-core-testing

Test system for Megatron-LM. Covers test layout, recipe YAML structure,

NVIDIA
NVIDIA
103

nvidia-megatron-core-update-golden-values

Refresh golden values from a GitHub Actions workflow run (failing-only

NVIDIA
NVIDIA
103

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