
Anyscale
Founded Year
2019Stage
Series C - II | AliveTotal Raised
$259.6MLast Raised
$99M | 3 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
+35 points in the past 30 days
About Anyscale
Anyscale is a company that develops an artificial intelligence (AI) platform within the technology sector. Its offerings include an AI platform powered by RayTurbo, an AI compute engine for running AI workloads across various environments with Python APIs. Anyscale's platform includes orchestration and governance tools to manage the performance and cost of AI applications. Anyscale was formerly known as Indigostack. It was founded in 2019 and is based in San Francisco, California.
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ESPs containing Anyscale
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The in-memory data store market includes solutions that store and process large amounts of data 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 data stores also provide…
Anyscale named as Challenger among 15 other companies, including Databricks, Dremio, and Cockroach Labs.
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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
1,270 items
AI 100
100 items
Artificial Intelligence
7,632 items
Latest Anyscale News
Apr 11, 2025
This collaboration aims to simplify and optimize AI workloads. In a significant advancement for artificial intelligence development, Google Cloud has partnered with Anyscale to integrate Anyscale's RayTurbo with Google Kubernetes Engine (GKE). This collaboration aims to simplify and optimize the process of building and scaling AI applications, according to Anyscale. RayTurbo and GKE: A Unified Platform for AI The partnership introduces a unified platform that functions as a distributed operating system for AI, leveraging RayTurbo's high-performance runtime to enhance GKE's container and workload orchestration capabilities. This integration is particularly timely as organizations increasingly adopt Kubernetes for AI training and inference needs. The combination of Ray's Python-native distributed computing capabilities with GKE's robust infrastructure promises a more scalable and efficient way to handle AI workloads. This integration is designed to streamline the management of AI applications, allowing developers to focus more on innovation rather than infrastructure management. Ray: A Key Player in AI Compute The open-source Ray project has been widely adopted for its ability to manage complex, distributed Python workloads efficiently across CPUs, GPUs, and TPUs. Notable companies such as Coinbase, Spotify, and Uber utilize Ray for AI model development and deployment. Ray's scalability and efficiency make it a cornerstone for AI compute infrastructure, capable of handling millions of tasks per second across thousands of nodes. Enhancing Kubernetes with RayTurbo Google Cloud's GKE is renowned for its powerful orchestration, resource isolation, and autoscaling features. Building on previous collaborations, such as the open-source KubeRay project, the integration of RayTurbo with GKE enhances these capabilities by boosting task execution speed and improving GPU and TPU utilization. This creates a distributed operating system tailored specifically for AI applications. Benefits for AI Teams AI developers and platform engineers stand to benefit significantly from this integration. The collaboration helps remove bottlenecks in AI development, allowing for accelerated model experimentation and reducing the complexity of scaling logic and DevOps overhead. The integration promises up to 4.5X faster data processing and significant cost reductions through improved resource utilization. Google Cloud is also introducing new Kubernetes features optimized for RayTurbo on GKE, including enhanced TPU support, dynamic resource allocation, and improved autoscaling capabilities. These enhancements are set to further boost the performance and efficiency of AI workloads. For those interested in exploring the capabilities of Anyscale RayTurbo on GKE, additional information is available on the Anyscale website. Image source: Shutterstock Source: https://blockchain.news/news/google-cloud-anyscale-enhance-ai-rayturbo-integration
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 Tenstorrent, TensorWave, Run:ai, VAST Data, ZenML and 7 more.
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Compare Anyscale to Competitors
TensorWave provides a cloud platform that specializes in artificial intelligence workloads. The company offers services for training, fine-tuning, and running inference on AI models. It provides options for bare-metal nodes or fully-managed Kubernetes clusters, along with native support for popular AI frameworks such as Pytorch and TensorFlow. It was founded in 2023 and is based in Las Vegas, Nevada.
Baseten deploys and serves machine learning models, concentrating on aspects like performance, scalability, and cost-efficiency. The company provides a platform for cloud-native infrastructure, embedded engineering, model management, and deployment, which are used in various artificial intelligence (AI) applications including transcription, large language models, image generation, and text-to-speech. Baseten serves the technology sector and offers solutions that support the transition of AI models from prototype to production. It was founded in 2019 and is based in San Francisco, California.
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Domino is a company that provides an enterprise artificial intelligence (AI) platform for AI model development and deployment across various industries. The company's offerings include a platform for building, deploying, and managing AI models, with features that support collaboration and integration into enterprise workflows. Domino's platform is intended to support AI operations and knowledge sharing within organizations. It was founded in 2013 and is based in San Francisco, California.

Datatron is an enterprise AI platform that focuses on streamlining machine learning operations and governance workflows. The company offers a flexible MLOps platform that enables businesses to deploy, manage, and monitor AI models efficiently, with a strong emphasis on enterprise scalability and security. Datatron's solutions cater to various stakeholders, including business executives, data scientists, and engineering/DevOps teams, providing tools for AI model monitoring, governance, and operational management without the need for manual scripting or ad hoc processes. It was founded in 2016 and is based in San Francisco, California.
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