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Deploy AI agents to investigate cluster issues and streamline governed AI factory operations.Developer ExampleAI Factory Operations Agent
Deploy a multi-agent chatbot system and chat with agents on your Spark Extract triples with Ollama or vLLM, store them in a graph database, and explore them in a GPU-accelerated web UI Set up a cluster of DGX Spark devices that are connected through Switch Connect and set up three DGX Spark devices in a ring topology Combined memory and compute over a direct high-speed link Connect two Spark devices and setup them up for inference and fine-tuning Install and use NVIDIA cuML and NVIDIA cuDF to accelerate UMAP, HDBSCAN, pandas and more with zero code changes30 MINCUDA-X Data Science
Inspect DGX Station software and route version-aware, CLI-backed workflows Build Isaac Sim and Isaac Lab from source for Spark Fine-tune and benchmark NVIDIA's GR00T N1.6 robotics foundation model on DGX Station Run healthcare AI agents that analyze patient data and predict protein structures in an OpenShell sandbox on DGX Station Cut memory ~3.5× vs FP16 while keeping accuracy close to FP8, then validate with an OpenAI-compatible endpointIntermediate60 MINQuantize Models to NVFP4 with NVIDIA Model Optimizer
Link your DGX Station to Brev for remote access and sharing Chat from the terminal against local vLLM with the self-improving Nous Research agent (Telegram optional) GPU-accelerated text-to-image generation with diffusion modelsIntermediate60 MINRun Multi-Modal Inference with TensorRT
Isolate OpenClaw with kernel-level policies and route inference to a local model High-throughput serving with RadixAttention, structured output, and an OpenAI-compatible API30 MINServe LLMs with SGLang
High-throughput serving for 30+ models, with continuous batching and an OpenAI-compatible APIIntermediate30 MINServe LLMs with vLLM
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