 | submitted by /u/Responsible_Case_376 [link] [comments] |
Running 8B Llama locally on Jetson Orin Nano (using only 2.5GB of memory)
Reddit r/LocalLLaMA / 3/13/2026
📰 NewsDeveloper Stack & InfrastructureTools & Practical UsageModels & Research
Key Points
- A Reddit user claims to run an 8B Llama model locally on a Jetson Orin Nano using only about 2.5 GB of memory.
- The post links to the Reddit submission and a video/demo, indicating a practical edge deployment.
- This suggests potential for running mid-size LLMs on low-memory edge devices, expanding on-device AI possibilities.
- The snippet notes the feasibility but does not provide detailed benchmarks or reproducible steps in the article itself.
Related Articles
ベテランの若手育成負担を減らせ、PLC制御の「ラダー図」をAIで生成
日経XTECH
Hey dev.to community – sharing my journey with Prompt Builder, Insta Posts, and practical SEO
Dev.to
Why Regex is Not Enough: Building a Deterministic "Sudo" Layer for AI Agents
Dev.to
Perplexity Hub
Dev.to
How to Build Passive Income with AI in 2026: A Developer's Practical Guide
Dev.to
