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Porsche, Volkswagen Group brands and CARIAD announce the joint construction of a shared data flywheel for autonomous driving development. The news was announced on October 21, 2026 at the NVIDIA GTC Berlin conference, with Porsche leading initial implementation and ecosystem integration, and Voxel51, NVIDIA and Microsoft participating. According to Voxel51, the group's connected fleet generates data each day equivalent to 11,000 ordinary drivers, and the goal of the cooperation is to reduce repetitive real-vehicle testing by up to 90% and shorten AI regression testing cycles by up to 85%. In terms of division of labor, Voxel51 provides the data layer and supports six workflows including multimodal retrieval, automatic annotation and scenario filtering, NVIDIA provides tools such as Cosmos Data Factory and Omniverse NuRec, and Microsoft Azure provides cloud and computing power. The cooperation is currently at the announcement stage, with no subsequent progress disclosed.
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NVIDIA Cosmos Expands New Tools for Training, Evaluating, and Deploying World ModelsDevelopments
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Oct 22
NVIDIA：NewsroomFirst-party
NVIDIA Cosmos Expands New Tools for Training, Evaluating, and Deploying World Models
NVIDIA expands the Cosmos platform with new training tools, simulation checkpoints, and Cosmos Data Factory blueprints to help developers build world models. Cosmos Data Factory offers five cloud-native blueprints, now available through GitHub, Microsoft Azure, Nebius, and CoreWeave; Porsche is using it to build a shared autonomous driving data flywheel, expected to reduce repetitive real-vehicle testing by up to 90% and shorten the development cycle by up to 85%. Cosmos Framework's training, optimization, and deployment tools are extended as agent skills to open-source models such as GR00T, Alpamayo, QWEN, and Pi0.5, and the Cosmos 3 NIM microservice delivers up to 2x faster inference under validated configurations.