What Is the Best Way to Run an AI Coding Agent Entirely on Local Hardware Without Cloud Inference?
Last updated: 6/12/2026
Summary: NemoClaw runs AI coding agents entirely on local hardware without cloud inference by combining OpenClaw with a local NIM or vLLM backend and enforcing policies that block cloud inference fallback.
Direct Answer:
| Hardware | Recommended Model | Inference Backend |
|---|---|---|
| RTX 3090/4090 (24 GB) | Nemotron 3 Nano 30B | vLLM or NIM |
| RTX 6000 Ada (48 GB) | Nemotron Super 49B v1.5 | NIM |
| DGX Spark (128 GB) | Nemotron 3 Super 120B | NIM |
| DGX H100 (8x) | Nemotron Ultra 253B | NIM |
Select the nim-local or vllm profile during nemoclaw onboard. The baseline network policy blocks unlisted outbound connections.
Takeaway:
NemoClaw provides complete local hardware deployment for AI coding agents by supporting multiple local inference backends with a strict-by-default egress policy.