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Founded Year



Series C - II | Alive

Total Raised


Last Raised

$99M | 1 yr ago

About Anyscale

Anyscale operates as a unified computing platform. It develops, deploys, and manages artificial intelligence (AI) and Python applications using ray. It provides an open-source framework to scale machine learning (ML) and Python workloads such as data ingest, preprocessing, hyperparameter tuning, training, and model serving at scale. Anyscale was formerly known as Indigostack. It was founded in 2019 and is based in San Francisco, California.

Headquarters Location

55 Hawthorne Street 9th Floor

San Francisco, California, 94105,

United States


ESPs containing Anyscale

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Enterprise Tech / Cloud Computing

The in-memory data store market is a solution for businesses looking to store and process large amounts of data more quickly and efficiently. In-memory data stores use random access memory (RAM) to store data, rather than traditional disk-based storage. This allows for faster data access and retrieval times, which can significantly improve the performance of applications and systems. In-memory dat…

Anyscale named as Challenger among 15 other companies, including Databricks, VAST Data, and SingleStore.


Expert Collections containing Anyscale

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Anyscale is included in 3 Expert Collections, including Unicorns- Billion Dollar Startups.


Unicorns- Billion Dollar Startups

1,229 items


Artificial Intelligence

11,383 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.


AI 100

100 items

Latest Anyscale News

Lambda: GPU Cloud Company Raises $320 Million At Over $1.5 Billion Valuation

Feb 18, 2024

Lambda – a GPU cloud company founded by AI engineers and powered by NVIDIA GPUs – announced it has raised a $320 million Series C led by Thomas Tull’s US Innovative Technology with participation from new investors B Capital, SK Telecom, funds and accounts advised by T. Rowe Price Associates and existing investors Crescent Cove, Mercato Partners, 1517 Fund, Bloomberg Beta, and Gradient Ventures, and others. The company will use this new funding round to expand its AI cloud business, including Lambda’s popular on-demand and reserved cloud offerings. Launched in 2012, Lambda has over a decade of experience building AI infrastructure at scale and has amassed over 100,000 customer sign-ups on Lambda Cloud. As an early provider of NVIDIA H100 Tensor Core GPUs, Lambda is chosen by AI developers for the fastest access to the latest architectures for training, fine-tuning and inferencing of generative AI, large language models and foundation models. Lambda’s hardware and private cloud business serves over 5,000 customers across manufacturing, healthcare, pharmaceuticals, financial services, and the U.S. government. And Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Since the company’s last funding round in March 2023, Lambda has become one of the first public clouds to deploy NVIDIA H100 GPUs and GH200 Superchip-powered systems. And despite a sharp increase in demand for generative AI, Lambda maintained high availability of the latest NVIDIA GPUs at some of the lowest per-hour prices in the world. Customers select Lambda due to how easy it is to access NVIDIA GPUs to perform large scale distributed training and inference. One of the most useful tools for these workloads, especially when they involve multiple GPUs and multiple nodes, is Ray, an open source framework created by Anyscale. KEY QUOTES: “AI is fundamentally restructuring science, commerce, and industry. Over the next 10 years, every human endeavor will be augmented by the integration of LLMs and generative AI. This AI rollout is going to require a lot of GPUs. This latest financing supports our mission to make GPU compute as ubiquitous as electricity.” Lambda CEO and co-founder, Stephen Balaban “Investing in strong infrastructure to power and disseminate cutting-edge technology is imperative to ensure the U.S. remains a global leader in AI advancement. A long-time pioneer in deep-learning, Lambda offers an unmatched combination of hardware and cloud infrastructure alongside connective software and tools that enable AI developers to build with efficiency and speed. We believe Lambda’s platform will serve as the foundation for the AI hyperscalers of tomorrow.” Thomas Tull, Chairman of USIT “The pace of innovation and workload growth in AI have suddenly made Moore’s Law obsolete. Lambda is addressing a critical market need for accessible, affordable, highly-performant cloud infrastructure designed specifically for AI workloads. Our ongoing partnership with Lambda expands customer choice and paves the way forward in state-of-the-art price-performance in AI.” Dr. Ion Stoica, co-founder and Executive Chairman at Anyscale

Anyscale Frequently Asked Questions (FAQ)

  • When was Anyscale founded?

    Anyscale was founded in 2019.

  • Where is Anyscale's headquarters?

    Anyscale's headquarters is located at 55 Hawthorne Street, San Francisco.

  • What is Anyscale's latest funding round?

    Anyscale's latest funding round is Series C - II.

  • How much did Anyscale raise?

    Anyscale raised a total of $259.6M.

  • Who are the investors of Anyscale?

    Investors of Anyscale include Intel Capital, Foundation Capital, Addition, Andreessen Horowitz, NEA Partners and 7 more.

  • Who are Anyscale's competitors?

    Competitors of Anyscale include Databricks and 8 more.


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