Back to news

CoreWeave Unveils CoreWeave Physical AI Launchables, Taking the Setup Work Out of Robotics and AV Development

Business Wire•21/10/2026•07:30 ET
4

Key Highlights

  • ➤CoreWeave launched Physical AI Launchables for robotics, autonomous vehicle, and simulation teams
  • ➤Templates cover NVIDIA Isaac Sim, CARLA, MuJoCo, NVIDIA AlpaSim, and NVIDIA Cosmos 3
  • ➤Launchables include Cosmos Data Factory skills for augmentation, auto-labeling, curation, and retrieval
  • ➤CoreWeave partners with Cadence, Convergent Science, Encord, nTop, PhysicsX, and Voxel51
  • ➤Launchables ship agent skills optimized for CoreWeave’s cloud with every Template

Expert Statements

Richard Ahlfeld, senior vice president of physical AI at CoreWeave

“Robotics and autonomous vehicle teams are doing some of the most demanding engineering in this industry, and they should be spending their time on it”

Richard Ahlfeld, senior vice president of physical AI at CoreWeave

“Physical AI Launchables gives them a tested starting point for the tools they already use, so more of their time goes to the work only they can do.”

Nakul Arora, director of product management, NVIDIA

“NVIDIA’s reference agent skills for physical AI are built to run on any cloud”

Nakul Arora, director of product management, NVIDIA

“CoreWeave has built their own version optimized for their AI cloud and ships it with Physical AI Launchables, so these workflows run natively on their infrastructure and developers can focus on the physical AI problem rather than the orchestration underneath.”

Eric Landau, co-founder and CEO, Encord

“Physical AI demands a new level of performance and scale across the entire AI development lifecycle, from data enrichment through to model inference”

Eric Landau, co-founder and CEO, Encord

“By bringing together CoreWeave’s accelerated compute infrastructure and Encord’s AI data platform, we’re making it easier for teams to work with multimodal data and advance their AI model development.”

Brian Moore, co-founder and CEO, Voxel51

“Physical AI puts extraordinary demands on infrastructure, from processing dense multimodal recordings to training and evaluating compute-intensive models”

Brian Moore, co-founder and CEO, Voxel51

“By combining Voxel51’s data workflows with CoreWeave’s high-performance compute, we’re helping developers accelerate the data flywheel, turning raw sensor data into better models with every iteration.”

CoreWeave Unveils CoreWeave Physical AI Launchables, Taking the Setup Work Out of Robotics and AV Development

Engineers get tested configurations for the software they already use, so time goes into the work instead of the plumbing

Get started

Create a free account to read the full story.

Sign Up

Already have an account? Log in