jetson-deploy
CommunityDeploy AI apps to Jetson Orin Nano.
Authormichaelalber
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the complex process of deploying AI applications to resource-constrained NVIDIA Jetson Orin Nano devices, ensuring optimal performance within strict power and thermal limits.
Core Features & Use Cases
- End-to-End Deployment: Guides users through setup, containerization, model conversion (TensorRT), optimization, benchmarking, and final deployment.
- Constraint-Aware: Emphasizes power budget, thermal management, and memory constraints inherent to edge devices.
- Reproducibility: Mandates the use of
jetson-containersfor consistent and reliable deployments. - Use Case: Deploying a real-time object detection model on a Jetson Orin Nano for an autonomous robot, ensuring it runs efficiently within the device's 7W power budget and meets latency requirements.
Quick Start
Use the jetson-deploy skill to containerize and optimize a PyTorch model for deployment on a Jetson Orin Nano.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: jetson-deploy Download link: https://github.com/michaelalber/ai-toolkit/archive/main.zip#jetson-deploy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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