Draft:Anyscale

Submission declined on 25 June 2026 by ChrysGalley (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that: provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles; are reliable: from reputable outlets with editorial oversight; are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content. Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by ChrysGalley 58 days ago. Last edited by ChrysGalley 58 days ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

• Comment: So what is needed here is truly independent and reliable sources talking about the company in sufficient depth to give "corporate depth". Within that some coverage can be deemed to be "corporate trivia", such as staff changes. See WP:SIRS for the definitions. Most of the sources here are not independent or reliable enough for that test, but in many cases they are ok for the separate issue of verification. ChrysGalley (talk) 07:54, 25 June 2026 (UTC)

• Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Ray Anyscale (talk) 07:45, 25 June 2026 (UTC)

Anyscale, Inc. is an American artificial intelligence infrastructure company headquartered in San Francisco^[2], California. It develops an AI computing platform built around Ray, an open-source framework for distributed Python and AI workloads.^[3] The company was founded in 2019 by Robert Nishihara, Philipp Moritz and Ion Stoica, the original creators of Ray at the University of California, Berkeley's RISELab.^[1]

Anyscale incorporates the Ray distributed compute engine into a platform that includes Developer Central - suite of developer tools for development of AI workloads - and Cluster Controller - unified pane to manage, govern and monitor clusters across regions or clouds.^[4] The company recently announced an agentic-forward development experience with Anyscale Agent Skills.^[5]

The platform operates natively across clouds including Amazon Web Services, Google Cloud Platform, Microsoft Azure^[6], CoreWeave ^[7], Nebius Group^[8] & more.

Anyscale is used to run a wide range of AI workloads at Foundation model scale from multimodal data processing, to distributed training and large scale inference. This includes workloads such as embedding processing at scale at Notion ^[9], planet-scale image processing at Xoople ^[10], video processing and model training at Torc Robotics ^[11], distributed model training at Discord ^[12] and more ^[13].

Anyscale traces its origins to the RISELab at UC Berkeley, where doctoral students Robert Nishihara and Philipp Moritz, working on solving the challenges of running reinforcement learning realized complexity of scaling infrastructure and began working on Ray project in 2016 to make it easier for Python developers to build distributed applications.^[1] Ion Stoica, a computer-science professor who had previously co-founded Databricks, joined Nishihara and Moritz to incorporate Anyscale in 2019 with the goal of commercializing Ray and democratizing large scale AI.^[1]

The company emerged from stealth in December 2019 with US$20.6 million in Series A funding led by Andreessen Horowitz, with participation from NEA, Intel Capital and Foundation Capital.^[1] Since then Ray has grown into one of the most widely adopted open-source frameworks for distributed AI, used internally at large technology companies and AI laboratories.^[14]

In July 2024 Anyscale announced that Keerti Melkote - the founder of Aruba Networks, which was acquired by Hewlett Packard Enterprise in 2015 - had been appointed chief executive officer.^[15][16]

In November 2025, as Ray downloads grew past 7 million per week, Anyscale announced the donation of the Ray project to the PyTorch Foundation ^[17], home to some of the most widely adopted open-source AI projects including VLLM, DeepSpeed, and PyTorch. At that same time, Anyscale announced a strategic partnership and joint product engineering effort to make Anyscale an Azure native integration. ^[6]

Anyscale launched in December 2019 with US$20.6 million in Series A funding led by Andreessen Horowitz.^[1] In October 2020 the company raised an additional US$40 million Series B round led by NEA, bringing total funding at the time to roughly US$60 million.^[18]

In December 2021 Anyscale announced a US$100 million Series C round at a US$1 billion valuation, co-led by Andreessen Horowitz and Addition, with participation from NEA, Intel Capital and Foundation Capital. The round brought total disclosed financing to approximately US$160 million.^[19]

Anyscale also hosts Ray Summit, an annual industry conference in San Francisco that has featured speakers from Uber, OpenAI, Shopify, IBM and other organizations using Ray in production.^[20]

In 2026, Ray Summit will be hosted in San Francisco at the Marriott Marquis hotel and will include speakers from Bedrock Robotics, Periodic Labs, Lila Sciences and more working on frontier AI including work on Physical AI, LLM reinforcement learning, multimodal data curation and foundation model training. ^[21]