NVIDIA Releases Guide to Run Nemotron-3 Ultra 550B Model on Four DGX Spark Boxes

NVIDIA AI has released a deployment guide for Nemotron-3 Ultra, a 550-billion-parameter large language model, enabling users to run the system entirely outside of cloud data centers. The company demonstrated how four compact DGX Spark boxes can be pooled to create a private inference endpoint that remains compatible with the OpenAI application programming interface. The setup relies on vLLM, an open-source inference engine, to serve the model from a ready-made container on June 29.

The hardware configuration targets developers and enterprises building AI agent workflows on-premises or at the edge. By packaging the deployment steps into a single guide, NVIDIA is addressing a key bottleneck for private AI infrastructure: compressing the power, cooling, and networking demands typically associated with models of this scale. The Nemotron series focuses heavily on coding and reasoning tasks, positioning the guide as a practical tool for organizations seeking to reduce latency and keep training data local.