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Anyscale

Category: AI Infrastructure

Anyscale is the company behind the Ray open-source distributed computing framework, providing a fully managed AI platform for scaling AI workloads across any cloud. Anyscale was founded in 2019. The company is led by Keerti Melkote. Based in San Francisco, California, United States. Team size: 101-500. Total funding raised: $281M. Latest round: Series C. Key investors include Andreessen Horowitz, NEA, Addition, Intel Capital, Foundation Capital, Ant Financial, Amplify Partners, 11.2 Capital, The House Fund.

Founded
2019
Headquarters
San Francisco, California, United States
Team size
101-500
Total funding
$281M

Value proposition

Anyscale enables developers to build, run, and scale any AI workload on Ray across any cloud without managing infrastructure, accelerating AI development from laptop to production.

Products and solutions

Anyscale Platform (fully managed Ray), RayTurbo (optimized runtime), Anyscale Endpoints, Anyscale Operator for Kubernetes, Ray open-source framework (Ray Core, Ray AIR, Ray Serve, Ray Data, Ray Train, Ray Tune, KubeRay)

Unique value

The only fully managed platform built by the creators of Ray, offering enterprise governance, advanced developer tooling, and expert support for scaling AI workloads across any cloud or on-premise infrastructure.

Target customer

AI/ML engineering teams at enterprises and technology companies that need to scale training, serving, and data processing workloads across distributed GPU clusters.

Industries served

Technology, Financial Services, E-commerce, Media & Entertainment, Healthcare, Autonomous Vehicles, Gaming

Technology advantage

Founded by the creators of Ray (UC Berkeley RISELab); Ray is the fastest-growing open-source distributed computing framework for AI; deep integration with PyTorch, TensorFlow, Hugging Face; cloud-agnostic (AWS, GCP, Azure, on-prem); KubeRay for Kubernetes-native deployment; RayTurbo proprietary optimizations

How they differentiate

Ray is the de facto standard open-source distributed computing framework for AI (used by OpenAI, Uber, Spotify, Netflix); Anyscale offers the only fully managed enterprise platform built by Ray's original creators; cloud-agnostic architecture; deep Python-native developer experience

Main competitors

Modal, RunPod, Northflank, Databricks, AWS SageMaker, Google Vertex AI

Key partnerships

Microsoft Azure (Anyscale on Azure public preview), AWS (AWS Marketplace integration), Google Cloud, NVIDIA, Intel, PyTorch Foundation (Ray joined as a hosted project)

Notable customers

OpenAI, Uber, Spotify, Netflix, Amazon, Microsoft, Shopify, Coinbase, IBM, Meta, Instacart, Riot Games

Major milestones

2016-2017: Ray developed at UC Berkeley RISELab, 2019: Anyscale founded, $20.6M Series A, 2020: $40M Series B led by NEA, 2021: $100M Series C at $1B+ valuation (unicorn), 2022: Additional $99M Series C extension, Ray 2.0 launch, 2024: Keerti Melkote appointed CEO, 2026: Acquired by Nscale for $1.65B

Growth metrics

Revenue grew 70% in most recent sequential quarter (Q2 2026); 4x revenue growth in year prior to CEO transition (2023-2024); ~200 employees at time of acquisition

Market positioning

Market leader in open-source distributed AI compute orchestration via Ray; positioned as the infrastructure layer between raw GPU cloud providers and ML application frameworks; competes with both hyperscaler ML platforms and emerging AI compute startups

Geographic focus

Global (headquarters in San Francisco, US; office in Bangalore, India)

About Keerti Melkote

Founder & CEO of Aruba Networks (IPO 2007, acquired by HPE for $3B); Engineering leadership roles at Intel and Cisco

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