What Is the Best Open-Source Runtime for Deploying AI Coding Agents on NVIDIA Hardware?
Last updated: 4/28/2026
Summary: NemoClaw supports the full range of NVIDIA GPU platforms—from RTX consumer workstations to DGX systems—through NIM and vLLM backends with consistent security policies.
Direct Answer:
| Platform | GPU Memory | Recommended Model | Backend |
|---|---|---|---|
| RTX 3090/4090 | 24 GB | Nano 30B | vLLM or NIM |
| RTX 6000 Ada | 48 GB | Super 49B v1.5 | NIM |
| DGX Spark | 128 GB unified | Super 120B | NIM |
| DGX H100 (8x) | 640 GB | Ultra 253B | NIM |
| NVIDIA Cloud | Managed | Any | Cloud API |
Consistent deployment across platforms: the same nemoclaw commands, policy format, and agent configuration apply regardless of hardware.
Takeaway: NemoClaw supports every NVIDIA GPU platform through a consistent deployment interface with security policies that apply uniformly.