Location
Headquarters: San Francisco, California, United States, North America
Region: California
Country: US
Continent: North America
About
Anyscale provides a platform to build and run AI and ML workloads on multi-cloud and on-prem environments, built around the Ray distributed framework. It offers production-ready compute for data processing, model training, and inference, with features aimed at simplifying deployment, observability, and cost governance across scalable Ray clusters. The company positions itself as the team behind Ray, delivering a managed, multi-cloud AI platform that supports developers from experimentation to production. Anyscale is focused on enabling scalable AI workflows across cloud providers and on-premises facilities, with integrations and resources tied to Ray.
Anyscale provides a managed platform for building and running AI and machine learning workloads using the Ray distributed framework. It enables developers to deploy scalable applications across multi-cloud and on-premises environments, supporting data processing, model training, and inference. The company serves software engineers and data scientists seeking production-ready infrastructure for AI
Anyscale, Inc.
2019
for_profit
active
Industries
Primary Industry: Software
Categories
Funding & Financials
Series C
358800000
under-1m
private
Investors
Founders
Ion Stoica
Michael I. Jordan
Philipp Moritz
Robert Nishihara
Leadership
Technology Stack
Products
RayTurbo: An AI compute engine optimized for distributed computing across GPUs and CPUs, designed to run AI workloads at scale with fault tolerance and high availability.
Anyscale AI Platform: A configurable AI platform that integrates RayTurbo and modular components to enable scalable AI/ML development and production deployment across any cloud or infrastructure.
Ray Open Source Framework: An open-source distributed computing framework providing Python APIs to scale AI and ML workloads across clusters of CPUs and GPUs.
Enterprise Governance and Security Features: Tools for managing user access, resource allocation, billing, and security controls within private cloud or on-premises AI environments.
Training and Support Services: Professional services offering expert assistance from Ray creators to optimize and support AI workload development and deployment.
Funding rounds
Series C · $99M · (2022-08-23) · Lead: Addition,Intel Capital
Series C · $100M · (2021-12-07) · Lead: Addition,Andreessen Horowitz
Series B · $40M · (2020-10-21) · Lead: New Enterprise Associates