Databricks and NVIDIA are expanding their partnership to bring NVIDIA GPUs, the new Vera CPU, and agentic AI tooling into the Databricks platform. Key highlights include: AI Runtime (AIR) for GPU-accelerated training and fine-tuning on governed enterprise data; Model Serving powered by NVIDIA hardware and Triton Inference Server for production inference; the NVIDIA Vera CPU designed specifically for agentic workloads, RL, and CPU-based analytics to eliminate bottlenecks in agent orchestration; NVIDIA Agent Toolkit hosted on Databricks Apps for building agentic workflows; and domain-specific NVIDIA libraries (BioNeMo, Parabricks, Isaac Sim, Omniverse, etc.) integrated directly into the Databricks platform for industries like healthcare, genomics, and robotics.

8m read timeFrom databricks.com
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Table of contents
1. Training and Fine-Tuning2. Inference: NVIDIA Acceleration in Databricks Model Serving3. Agentic infrastructure: exploring NVIDIA Vera for the next compute bottleneck4. Developer experience: making accelerated AI easier to build5. Industry AI: NVIDIA software on governed Databricks dataLooking Ahead: Building for the Agentic Era
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