Anyscale

Anyscale
Anyscale
  • Headquarters

    San Francisco, CA
  • Founded

    2019
  • CEO / Founder

    Robert Nishihara
  • Employees

    201-500
  • Funding

    Series C — $259M
  • Products

    1 product listed
  • Avg. AI Score

    8.0/10
About Anyscale

Anyscale is a San Francisco-based cloud platform company founded in 2019 by Robert Nishihara, Ion Stoica, and Philipp Moritz, researchers who created the open-source Ray distributed computing framework at UC Berkeley. The company commercializes Ray by offering a managed platform that allows data scientists and engineers to scale machine learning training, inference, and data processing workloads across clusters on AWS, Google Cloud, and Azure.

Anyscale's primary product is the Anyscale Platform, which provides managed Ray clusters, job scheduling, and serving infrastructure for deploying large language models and other AI workloads. The platform is used by organizations building and fine-tuning foundation models, running batch inference pipelines, and serving AI applications at scale. Ray itself has broad adoption across the ML community, with users including OpenAI, Spotify, and Instacart, which underpins Anyscale's commercial positioning.

The company raised a $100 million Series C round in 2022, bringing its total funding to approximately $259 million from investors including Andreessen Horowitz, NEA, and Intel Capital. Anyscale employs roughly 200 to 400 people as of 2024. The company has grown alongside increased enterprise demand for infrastructure capable of supporting large-scale model training and inference workloads.

Specialties
Distributed ComputingMachine Learning InfrastructureLLM Training and Fine-TuningModel ServingRay FrameworkCloud-Native AI PlatformsBatch Data Processing
Products by Anyscale

All products by Anyscale reviewed by our AI panel of experts.

Explore AI Software Reviews

Browse multi-perspective AI panel reviews across hundreds of AI tools, agents, and platforms. Find the right software with insights from CTO, Developer, Marketer, Finance, and User perspectives.