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AI Research on NVIDIA DGX Spark is a field guide to running real AI workloads on a petascale desktop. Its eight parts cover foundations, inference and retrieval, training, fine-tuning, agentic systems, observability, and deployment. Each one turns hands-on research into reproducible, code-backed lessons for engineers building AI on NVIDIA devices and GPUs.

Every chapter comes from real experiments on the DGX Spark, and pairs with the open-source Field Kit Python library, whose full API reference is included. If you want to push the frontier of local AI on the machine under your desk rather than in the cloud, this is the playbook.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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