# Anyscale

> Anyscale builds Ray, the open-source distributed computing framework used to train and serve large AI models.

Source: https://metavert.io/anyscale  
Published: 2026-03-16  
Updated: 2026-03-16

Agentic Economy

[View Market Map](https://metavert.io/agentic-market-map)

Layer 5: Knowledge & Substrate as Anyscale (Ray)

**Anyscale** is the company behind **Ray**, the leading open-source framework for distributed computing and AI workloads. Ray enables developers to scale Python applications from a laptop to a cluster with minimal code changes, making it foundational infrastructure for training and serving large AI models.

Anyscale provides a managed Ray platform that simplifies the orchestration of large-scale model training, fine-tuning, and inference. Companies like OpenAI, Uber, Spotify, and Instacart rely on Ray for their ML infrastructure. Ray's ecosystem includes libraries for reinforcement learning (RLlib), hyperparameter tuning (Ray Tune), data processing (Ray Data), and model serving (Ray Serve).

In the agentic economy, Anyscale sits at the knowledge and substrate layer, providing the distributed computing framework that powers model training pipelines at scale.

## Related Topics

[AI Model Training](https://metavert.io/ai-model-training) · [AI Inference](https://metavert.io/ai-inference) · [PyTorch](https://metavert.io/pytorch)

## Further Reading

[Anyscale](https://www.anyscale.com) · [Ray Project](https://ray.io)