CUDA · By NVIDIA

Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.

NVIDIA/skills

Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence.

NVIDIA/skills

A skill your agent uses when authoring or validating PAIDF augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or…

NVIDIA/skills

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

NVIDIA/skills

A skill your agent uses when porting circuits from another framework (e.g.

NVIDIA/skills

Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install.

NVIDIA/skills

Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit.

NVIDIA/skills

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage.

NVIDIA/skills

How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2dcv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT…

NVIDIA/skills

Build Holoscan SDK from source via the in-tree ./run script.

NVIDIA/skills

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

NVIDIA/skills

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/skills

Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlapmoeexpertparallelcomm, delaywgradcompute, and flex dispatcher backends such as DeepEP and HybridEP.

NVIDIA/skills

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

NVIDIA/skills

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…

NVIDIA/skills

MoE expert-parallel communication overlap in Megatron Bridge.

NVIDIA/skills

Representative, point-in-time MoE training playbooks by hardware and model family.

NVIDIA/skills

Long-context MoE training guidance for Megatron Bridge. An agent skill from NVIDIA/skills.

NVIDIA/skills

Evidence-gated workflow for MoE performance optimization in Megatron Bridge.

NVIDIA/skills

Practical guidance for training MoE VLMs in Megatron Bridge.

NVIDIA/skills

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

NVIDIA/skills

One-time session setup and orchestration map for the TAO skill bank.

NVIDIA/skills

The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKERHOST=ssh://user@host.

NVIDIA/skills