skills.rest
ai-dynamoai-dynamoOfficial·1 Agent Skills Included

nixl

Accelerate GPU and storage data transfers for AI inference

Accelerates point-to-point data transfers between CPU, GPU memory, and storage for AI inference frameworks like NVIDIA Dynamo. Eliminates slow manual memory handling with a modular plugin system covering UCX, GDS, POSIX, and object storage backends. Includes Python bindings and benchmarking tools so engineers can build, test, and tune high-speed inference pipelines faster.
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npx skills add ai-dynamo/nixl --all -g -y

All Skills in This Repository (1)

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📦 In Repo
ai-dynamoai-dynamo

nixl-python-api

Guide NIXL Python API implementation with readiness-gated, version-safe instructions.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install NIXL?▼

Run `npx skills add ai-dynamo/nixl --all -g -y` in your terminal to install all skills in this suite globally.

What is NIXL used for?▼

NIXL speeds up point-to-point data movement between CPU, GPU, and storage in AI inference systems like NVIDIA Dynamo, using pluggable backends such as UCX and GDS.

Does NIXL work with Python?▼

Yes. NIXL provides Python bindings installable via pip, and the included skill helps your AI agent write correct agent, descriptor, and transfer code.

Which platforms does NIXL support?▼

NIXL runs on Linux only, tested on Ubuntu 22.04/24.04 and Fedora, with support for both NVIDIA CUDA and AMD ROCm GPUs.

Can I benchmark NIXL transfer performance?▼

Yes. The repository includes NIXLBench and KVBench tools to measure transfer throughput and simulate real inference workloads.

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