PHYSICAL AI
Robotics AI with Anyscale
Run large-scale video and log processing, foundation model training & fine-tuning, and simulation workloads on a unified AI compute platform, powered by Ray.
Build, run and optimize data, train and inference pipelines at foundation model scale.
Deploy at scale on any cloud - AWS, Azure, GCP, CoreWeave & Nebius.
Process logs and videos
Run end-to-end data pipelines processing data with AI with unified CPU and GPU processing
Fine-tune VLA models
Scale visual language action runs using your data and embodiment from one GPU to thousands
Run sims in parallel
Coordinate thousands of simulator rollouts for sim-eval, RL, and data synthesis
Curate training datasets
Scale processing from raw Parquet or LeRobot datasets to tensors for model training or fine-tuning
Generate embeddings
Power search, retrieval, and curation with embeddings processing at PB-scale on multimodal data
Run VLM batch inference
Use visual language models to run captioning, detection, and labeling on large scale robotics video
Our workloads don't just use CPU or just GPUs. We get the best setup when we can mix and match throughout the same workload. That's something Spark just isn't designed for.”
With Anyscale, our researchers can just write code without worrying about the underlying infrastructure.”
Anyscale lets us scale both experimentation and the number of developers running experiments all without being slowed down by infrastructure complexity ”
Our workloads don't just use CPU or just GPUs. We get the best setup when we can mix and match throughout the same workload. That's something Spark just isn't designed for.”
85x
scale compute from 20K to 1.7M hrs in less than 12 months
Why robotics companies unify their AI on Anyscale
Increase development velocity
Go from curating LeRobot dataset, to training a VLA to running a simulation and quickly turn the dev environment into a production-scale cluster.
Optimize compute costs
Intelligently orchestrate AI workloads across a shared CPU+GPU resource pool spanning reserved, on-demand, and spot instances.
Operate securely across clouds
Run the same code without cloud-specific rewrites to maximize GPU access. Manage security, governance and budgets in a single pane.
Built on Open Source
Power all your AI workloads with Ray on Anyscale
Ray is the world’s most trusted AI compute engine. Anyscale turns this framework into a production-ready platform.
500M+
All time downloads
41K+
GitHub stars
1.2k+
Contributors
Simple Python APIs
Execute Python functions and classes on a distributed cluster with a single decorator.
Agent-first experience
Build and iterate with scalable interfaces to Claude Code and Cursor, fast cluster startup time, instant autoscaling and deep workload observability.
Fine-grained hardware allocation
Compose workloads with distributed functions and classes each running on different CPUs, GPUs, TPUs, or accelerator racks like NVL72.
Multi-framework support
Ray offers native support for robotics data formats such as LeRobot and popular AI frameworks such as PyTorch, vLLM, Nvidia NeMo & more.
Build. Run. Scale. Repeat.
Deploy advanced AI applications without growing operational complexity with Ray on Anyscale.