Edge AI Computers
How to Run an LLM on Jetson Orin: Local Generative AI at the Edge
Run Llama and other language models on an NVIDIA Jetson. Hardware, memory and storage tips.
· 3 min read
Key takeaways
- Generative AI at the edge is trending fast.
- Memory is king.
- Use fast NVMe storage.
- AGX for heavy work.
Why it's trending
Generative AI at the edge is trending fast. Jetson Orin computers can run compact LLMs, vision-language models and voice assistants with no cloud connection.
Memory is king
LLMs need RAM. 16GB runs 7B-class models; 32GB and up handles larger ones.
Use fast NVMe storage
Models load quicker from an NVMe SSD than from eMMC.
AGX for heavy work
AGX Orin delivers the throughput for multi-user or multimodal workloads.
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