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CoreWeave for physical AI

The best physical AI programs don’t just run on CoreWeave. They’re built with it.

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Everything teams need for AI that moves the real world

Physical AI teams need integrated toolchains, massive data handling, and engineers who understand AI and physics, all in one place, and that's what CoreWeave delivers.

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Build at bare-metal speed

CoreWeave’s bare-metal NVIDIA GPU clusters deliver 96% useful compute, completing long-running RL training, Vision-Language-Action (VLA) fine-tuning, and world model jobs faster. All at up to 47% lower TCO vs. general-purpose clouds1.

Iterate smarter at every stage

CoreWeave’s integrated platform ties every VLA checkpoint, world model version, or RL policy back to the exact data and training run that produced it. So you get reliable results and issues addressed in hours, not weeks.

Co-engineer the hard parts

Our Physical AI Field Engineers have deep backgrounds in automotive, robotics, and industrial AI, and embed directly with your team to get models from simulation into the real world, where they need to perform flawlessly.

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The infrastructure
physical AI demands

Physical AI teams are roboticists, simulation engineers, and physicists, not usually cloud experts. On general-purpose infrastructure, they end up spending months stitching together simulation, training, storage, and tracking instead of building VLAs, world models, and RL policies.

CoreWeave is purpose-built for the sustained, compute-heavy workloads physical AI runs on, not adapted from infrastructure built for web traffic.

Explore our infrastructure

Physical AI pioneers partner with CoreWeave

CoreWeave delivers high-performance compute that lets your team stay focused on science, whether you’re training robot policies, modeling road scenarios at scale, or running physics simulations (the kind that used to take weeks on CPU clusters).

Autonomous vehicles

Get your autonomous models ready for the road. We bring massive data handling and powerful compute to world model training, VLA fine-tuning, sensor simulation, and closed-loop evaluation for self-driving cars, trucks, drones, shuttles, and more.

Robotics

CoreWeave is built for the long-running GPU jobs that robotics demands. Our AI-native cloud is ready for policy training, model fine-tuning, synthetic data generation, and sim-to-real validation for humanoids, industrial robots, and autonomous machines.

Illustration of a commercial airplane transitioning from a wireframe engineering model to a fully rendered aircraft, surrounded by flowing blue lines representing airflow simulation.

Industrial

Our high-performance infrastructure lets you move compute-heavy physics  simulation from legacy CPUs to the latest GPU clusters—purpose-built for high-fidelity physical simulation, digital twins, and  training  ML models that predict real-world performance.

Shaping speed with CoreWeave AI.R

CoreWeave and the Aston Martin Aramco Formula One® Team are joining forces with the AI.R program, a new AI research initiative designed to advance engineering performance on and off the track. From the CoreWeave AI.R Tunnel to track-day analysis, AI.R brings together advanced compute, leading-edge aerodynamics, and relentless experimentation.

Many physical AI needs. One platform.

CoreWeave combines the tools, teams, and technology required to build physical AI systems, from large-scale simulation and model training to deployment and validation.

Compute and infrastructure

AI infrastructure optimized for simulation, training, and deployment.
NVIDIA RTX Pro, Blackwell, Hopper & Ada
CPU compute
Sensor & sim data pre-processing
SUNK (Slurm on Kubernetes)
Schedule long-running RL & sim jobs
CoreWeave Kubernetes Service (CKS)
Orchestrate training & simulation
High-speed networking
InfiniBand & RoCE fabric
Bare metal servers
Direct hardware performance
CoreWeave Sandboxes
Secure code execution

Data and storage

Built for sensor data, simulation outputs, and large-scale AI training datasets.
CoreWeave AI Object Storage
Petabyte sensor & simulation data
Distributed file storage (DFS)
High-throughput training data
Dedicated storage
Consistent performance at scale
Local object transport accelerator (LOTA)
GPU-local data caching
Managed database
Metadata & pipeline state

AI development and engineering

Industry-leading tools and engineering expertise brought together into one platform for physical AI.
Weights & Biases by CoreWeave
  • Experiment tracking
  • Multimodal model development
  • Unified AI development workflows
Monolith
  • Forward-deployed engineering
  • Engineering domain expertise (e.g., Automotive, Aerospace and physical testing)
  • Physical AI consulting
marimo
  • Open-source notebooks
  • Prototyping & exploration
  • AI workflow development

Built for the teams defining physical AI

Read more customer stories
“Our partnership with CoreWeave has enabled us to run NVIDIA HGX B200 at production scale and push the boundaries of training and inference, while delivering seamless interactive video experiences via the CoreWeave stack.”

Orian Leitersdorf
Chief Scientist, Decart

Decart builds the first API-accessible world model

Decart’s Oasis 3, the first API-accessible world model, generates real-time, controllable simulation environments where robots learn and improve across multi-view scenarios in their autonomous driving and robotics workflows. The frontier AI lab used CoreWeave’s AI cloud to train Oasis 3 and run it at production scale, delivering the speed interactive simulation demands.

Read the story
Neura robotic humanoid machines working on a car assembly line, assembling silver car bodies in a modern industrial factory setting with bright lighting and yellow support structures.
“The entropy is the crucial question, not the sheer size of data.”

Dr. Jens Buchner
Business Unit Head, Foundation Model, NEURA Robotics

NEURA Robotics iterates its robot foundation model daily

NEURA Robotics runs a continuous training loop across its NEURA Gym facilities: a robot attempts a task, the team evaluates the result, decides what data to collect next, and retrains and revalidates the model before the next attempt. Every stage, from base training through simulation testing to real-world validation, runs through W&B Models on CoreWeave, tracking not just what happened but why.

Read the story
“CoreWeave gives us the performance and scale to put production-grade physical AI directly in our customers’ hands.”

Jacomo Corbo
‍CEO & Co-Founder, PhysicsX

PhysicsX scales physical AI in engineering

PhysicsX, an AI-native engineering company, is delivering production-grade physical AI on CoreWeave’s high-performance cloud. Enterprise customers can train private, domain-specific Large Physics Models (LPMs) on proprietary data and deploy them within secure enterprise environments—compressing simulation and optimization cycles across aerospace, automotive, semiconductors, materials, and energy.

“Weights & Biases has been great—not just tracking results and logging experiments, but evaluating inputs and outputs, fixing bugs faster, and giving us great metrics.”

Suigen Koide
‍Head of Automated Driving, Woven by Toyota

Woven by Toyota drives toward zero traffic accidents

Woven by Toyota achieved a 10× increase in triage speed and scale with AutoTriage, a video AI agent that automates bug classification in their autonomous driving development workflow. Their team used Weights & Biases to track experiments, evaluate video inputs and outputs, identify bugs faster, and analyze metrics like weighted precision and recall.

Read the story
“AI lets us replace costly physical prototype runs with predictions we trust—and reinvest that time in better engineering.”

Emma Deutsch
‍Director of Engineering & Test Operations, Nissan Technical Centre Europe

Nissan reduces physical vehicle tests by 17%

Nissan’s engineering teams are using AI to replace expensive physical prototype runs, pairing 90+ years of historical test data with machine-learning predictions across the vehicle development cycle. A pilot on chassis bolt-joint testing cut physical tests by 17%, and rolling the approach across Nissan’s European range is projected to halve total testing time.

Read the story

Neura
Decart logo
Genesis AI
Skild AI
Honda
Boston Dynamics
Denso

Frequently asked questions

What is CoreWeave’s physical AI stack?

What makes CoreWeave different from general-purpose cloud providers for physical AI workloads?

Where does Monolith fit within CoreWeave’s physical AI stack?

What types of organizations use CoreWeave for physical AI?

What engineering support does CoreWeave provide beyond infrastructure?

How does CoreWeave’s relationship with NVIDIA benefit physical AI customers?

Related resources

The same news reads differently depending on where you sit. Here’s the version that applies to you.

Blog

Wayve, Decart, NEURA Robotics, Nissan: All Running Physical AI on CoreWeave

Podcast

Getting Physical with AI

Webinar

From physics to intelligence: Accelerating the design of next‑generation products

Get Started

We’re built for physical AI

Partner with CoreWeave to take your most demanding physical AI program from simulation to deployment, faster— with the pace, performance, and partnership intelligent machines demand.

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More than just a cloud. The whole physical AI stack.

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