Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark | NVIDIA Technical Blog

What this post added

This post introduces NVIDIA NemoClaw, a new open-source blueprint for running local AI agents on DGX Spark. It details a streamlined installation process that bundles open models, an agent harness (OpenClaw), and the NVIDIA OpenShell runtime. The post highlights performance improvements for Qwen3.6-35B with NVFP4 quantization and MTP optimizations, achieving up to 2.6x faster inference. It also introduces the cluster assistant in NVIDIA Sync for setting up multi-node DGX Spark clusters (2-4 nodes) to provide unified memory for larger models and distributed agent pipelines, simplifying ConnectX-7 networking configuration.