dusty-nv/jetson-containers resource

Health v2 · maintenance only

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Adoption not part of the score

4835 stars · 843 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A modular Docker container build system providing prebuilt AI/ML packages (PyTorch, TensorFlow, vLLM, ollama, ROS, etc.) for NVIDIA Jetson devices running JetPack/L4T. It automates building and chaining container images optimized for Jetson's ARM64 CUDA environment.

Use cases

• run pytorch or tensorflow on nvidia jetson
• deploy llm inference like vllm or ollama on jetson
• build docker containers for jetpack l4t
• run ros2 robotics containers on jetson
• set up machine learning environment on jetson orin nano
• get prebuilt cuda wheels for jetson arm64

When to choose

• you develop AI/ML or robotics applications on NVIDIA Jetson hardware
• you need prebuilt CUDA/ML packages that are hard to compile on ARM64
• you want a reproducible containerized ML stack for edge deployment

When to avoid

• you target x86 servers or cloud GPUs rather than Jetson devices
• you need a general-purpose Docker image registry unrelated to NVIDIA Jetson
• you don't use containers or Docker in your workflow

Facets

infra-config · maturity active

machine-learning llm-inference deep-learning container-runtime deployment developer-tools machine-learning deep-learning large-language-models robotics gpu-computing developer-tools nvidia-jetson jetpack dockerfiles edge-ai arm64 cuda robotics containers docker linux arm gpu

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markdown · JSON · MCP: product_card(name="dusty-nv/jetson-containers")