--- title: "Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark" url: https://daily.dev/posts/run-local-ai-agents-with-faster-models-and-multi-node-clustering-on-nvidia-dgx-spark-moqgba8ql source_url: https://developer.nvidia.com/blog/run-local-ai-agents-with-faster-models-and-multi-node-clustering-on-nvidia-dgx-spark type: article source: "NVIDIA Developer" published: 2026-06-01T22:05:47.415Z updated: 2026-06-01T22:06:09.688Z tags: ["ai-agents", "local-ai"] reading_time: 8 upvotes: 1 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark **[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 8 min read · 1 upvotes · 0 comments ## Summary NVIDIA announced updates to DGX Spark at Computex 2026 focused on making local AI agent development faster and more accessible. The NemoClaw open-source blueprint now installs via a single curl command, bundling Ollama, the Qwen3.6-35B model, and the OpenShell secure sandboxed runtime. Four ready-to-use agent templates are provided (news digest, software dev agent, document reviewer, calendar negotiator). Performance improvements deliver up to 2.6x faster inference on Qwen3.6-35B using NVFP4 quantization and vLLM optimizations. For teams needing more compute, the NVIDIA Sync cluster assistant automates multi-node setup for 2–4 DGX Spark units over ConnectX-7 200 Gbps RoCE networking, enabling up to 512 GB unified memory for running large models like 400B-parameter MoE architectures. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Scaling Autonomous AI Agents and Workloads with NVIDIA DGX Spark](https://daily.dev/posts/scaling-autonomous-ai-agents-and-workloads-with-nvidia-dgx-spark-lxoujr36b) · NVIDIA Developer · 1 upvotes · 0 comments - [GTC Spotlights NVIDIA RTX PCs and DGX Sparks Running Latest Open Models and AI Agents Locally](https://daily.dev/posts/gtc-spotlights-nvidia-rtx-pcs-and-dgx-sparks-running-latest-open-models-and-ai-agents-locally-sayvyuxbu) · NVIDIA · 1 upvotes · 0 comments - [Build a Secure, Always-On Local AI Agent with OpenClaw and NVIDIA NemoClaw](https://daily.dev/posts/build-a-secure-always-on-local-ai-agent-with-openclaw-and-nvidia-nemoclaw-64lushnzq) · NVIDIA Developer · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#local-ai](https://daily.dev/tags/local-ai) [View this post on daily.dev](https://daily.dev/posts/run-local-ai-agents-with-faster-models-and-multi-node-clustering-on-nvidia-dgx-spark-moqgba8ql)