Physical AI

CoreWeave for physical AI

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

Everything teams need for AI that moves the real world

No other cloud delivers everything physical AI teams need—integrated toolchains, massive data handling, and engineers who understand AI and physics.

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 forward-deployed 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.

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.

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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.

Engineering and 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.

Explore our F1 partnership

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.

GPU compute
NVIDIA 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
Model evaluation
AI development workflows

Monolith

Forward-deployed engineering
Simulation & CAE expertise
Physical AI consulting

marimo

Open-source notebooks
Prototyping & exploration
AI workflow development

Built for the teams defining physical AI

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

“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.

“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.

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Frequently asked questions

What is CoreWeave’s physical AI stack?

CoreWeave’s physical AI stack is purpose-built cloud infrastructure for the teams building robots, autonomous vehicles, and intelligent machines. It combines bare-metal NVIDIA GPU clusters, integrated experiment tracking and observability, native simulation support, and forward-deployed engineering to support the full lifecycle—from data generation through training, validation, and deployment.

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

CoreWeave Cloud is purpose-built for AI with bare-metal NVIDIA GPU clusters that deliver 96% useful compute and up to 47% lower three-year total cost of ownership compared to general-purpose alternatives, independently verified by Signal65. The platform is designed for the sustained, long-running jobs that simulation, reinforcement learning, and model training demand, not adapted from infrastructure originally built for web applications.

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

CoreWeave acquired Monolith in October 2025 to extend its AI platform deeper into industrial innovation. Monolith brings engineering tools and domain expertise that put AI directly in engineers' hands—helping them solve hard physics problems, cut physical testing, and shorten R&D cycles. It extends CoreWeave's direct-to-expert approach into industrial engineering, where our specialist field engineering teams integrate deep into customer workflows—helping companies like Nissan, BMW, and Mercedes not just adopt the technology, but change how they solve engineering and business problems with data science and AI.

What types of organizations use CoreWeave for physical AI?

CoreWeave powers some of the most demanding programs in robotics, autonomous driving, and computer-aided engineering (CAE). Customers range from foundation model companies training world models and reinforcement learning policies at scale, to industrial enterprises running high-fidelity physics simulation and digital twins.

What engineering support does CoreWeave provide beyond infrastructure?

Through Monolith—part of CoreWeave—forward-deployed engineers with backgrounds in automotive, aerospace, and industrial AI embed directly with your team. They bring decades of combined experience closing the sim-to-real gap and have delivered measurable results for programs at Nissan, BMW, and Honeywell.

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

CoreWeave is the first cloud named an NVIDIA Exemplar Cloud for both training and inference, and the only cloud rated Platinum by SemiAnalysis. More recently, CoreWeave became the first AI cloud provider to stand up a fully validated and operational NVIDIA Vera Rubin NVL72, delivering purpose-build innovations that unlock NVIDIA’s most advanced AI system for the agentic era. This relationship means early access to new GPU generations, tight hardware-software co-optimization, and a platform that performs the way NVIDIA hardware was designed to—without the overhead of virtualization layers.

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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.

Disclaimer‍

¹“A 3-Year TCO Analysis of AI Cloud Deployments,” Signal65, April, 2026.