Databricks and NVIDIA Deepen Partnership to Build Agentic Enterprise AI

At the Data + AI Summit, Databricks highlighted that NVIDIA AI infrastructure is at the center of new announcements from Databricks AI Runtime, Model Serving, and Industry AI solutions. [1][2] The companies provided a look at how the new NVIDIA Vera CPU will power the next generation of agentic infrastructure. [1][2] Adam Conway, SVP of Product at Databricks, stated the partnership spans the full AI lifecycle and combines NVIDIA technology with the data and governance capabilities of Databricks. [1][2]

Databricks AI Runtime enables teams to train and fine-tune models on governed enterprise data without managing separate GPU infrastructure. [2] NVIDIA Vice President Pat Lee noted the expanded partnership embeds full-stack accelerated computing, including Vera CPUs, Rubin GPUs, NVIDIA Quantum InfiniBand networking, and NVIDIA Agent Toolkit software into the Databricks platform. [2] Customers using AI Runtime obtain NVIDIA hardware where their governed data is located, including NVIDIA Hopper GPUs with NVIDIA Quantum InfiniBand. [2]

The integration of NVIDIA's upcoming Vera and Rubin architectures directly into Databricks' platform tightens the coupling between hardware acceleration and enterprise data governance. By offering direct access to Hopper GPUs and InfiniBand networking, Databricks eliminates the need for enterprise data and AI teams to manage discrete hardware infrastructure when training and serving models. What the sources don't address: when the new NVIDIA Vera CPUs and Rubin GPUs will reach general availability for Databricks customers.