Set Up Your Own LLM Server at Home | Run Local AI Models with Ollama + NVIDIA DGX Spark

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For more information, or to buy a NVIDIA DGX Spark: https://nvda.ws/4nFFtPT
Code: https://github.com/jeffheaton/present/tree/master/youtube/ollama_server
NVIDIA Workbooks: http://build.nvidia.com/spark

In this video, I walk through how to set up an Ollama server on the powerful NVIDIA DGX Spark, letting you run large language models locally—including 70B+ parameter models. You’ll learn how to:

🧠 Use NVIDIA’s DGX Spark notebooks to deploy Ollama via Docker
🖥️ Access the Ollama WebUI remotely for an easy chat interface
🔑 Connect to the local API using OpenAI-compatible Python code
⚙️ Manage models like DeepSeek R01 70B and balance performance vs. context length

This setup works on nearly any Unix-based system, not just the DGX Spark. By the end, you’ll have a fully functional local LLM environment ready for experimentation or integration into your own apps.

👉 Stay tuned for the next video, where I test how large of an LLM the DGX Spark can really run!
📎 Links to NVIDIA’s setup guide and example code are in the description.

#AI #NvidiaDGXSpark #Ollama #LocalLLM #Docker #OpenAIAPI

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