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On October 22, 2026, NVIDIA announced the expansion of the Cosmos platform, adding training tools, simulation checkpoints, and Cosmos Data Factory blueprints to help developers build world models. According to information released by the NVIDIA Newsroom, Cosmos Data Factory provides 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, which is expected to reduce repetitive real-vehicle testing by up to 90% and shorten development cycles by up to 85%. Cosmos Framework's training, optimization, and deployment tools are being extended in the form of 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. There are currently no further developments.
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Latest development · Report
NVIDIA Releases Cosmos Framework and Cosmos NIM, Supporting World Model Training and DeploymentDevelopments
1 confirmed developments
NVIDIA expands Cosmos platform training tools and data blueprints
Source:NVIDIA：Newsroom
Reports and discussion timeline
Browse reports and discussion by time. Their evidence levels remain distinct.
Nov 3
NVIDIA Developer · Generative AIFirst-partySelected
NVIDIA Releases Cosmos Framework and Cosmos NIM, Supporting World Model Training and Deployment
NVIDIA has released the Cosmos Framework and Cosmos NIM for physical AI. The former provides modular tools and agent skills for training, reinforcement learning, optimization, and inference, while the latter provides accelerated inference services in container form. The Cosmos 3 Nano simulation recipe can generate synchronized camera video and LiDAR observations from released checkpoints, covering autonomous driving, robotics, and surgical scenarios. NIM uses quantization, speculative decoding, and KV-cache-aware routing to achieve a measured speedup of about 2–3x on H200, and Cosmos3-Nano generation tasks require 58 GiB of VRAM under BF16.
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.