India, March 17 -- NVIDIA announced the NVIDIA Physical AI Data Factory Blueprint, an open reference architecture that unifies and automates how training data is generated, augmented and evaluated, reducing the costs, time and complexity of training physical AI systems at scale.

The blueprint enables developers to use NVIDIA Cosmos open world foundation models and leading coding agents to transform limited training data into large, diverse datasets - including rare edge cases and long-tail scenarios that are expensive, time-consuming and often impractical to capture in the real world.

NVIDIA is collaborating with Microsoft Azure and Nebius to integrate the open blueprint with their cloud infrastructure and services, enabling developers ...