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Anyscale

Fully managed Ray for scaling AI and distributed workloads

Anyscale is a fully managed Ray platform that removes the infrastructure work from building and deploying AI applications. It helps teams run Ray jobs, services, and workflows with autoscaling, monitoring, and API-driven cluster management.

Paid
API
B2B
For Developers
Cloud Hosted
For Teams
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About

What It Is

Anyscale is a cloud platform for developers and data/ML teams that use Ray for distributed computing. According to its product page, it is a fully managed Ray offering from the creators of Ray, designed to help you develop, scale, and deploy AI apps...

What to Know

Anyscale is more infrastructure automation than an autonomous AI agent. It can automatically create and manage clusters, run jobs, monitor them until success, and scale resources up or down, but it is still a platform for operating Ray workloads...

Key Features
Fully managed Ray infrastructure on vendor-hosted cloud infrastructure
Serverless autoscaling for Ray clusters
Automated cluster creation and management
Runs production jobs and services on Ray
Job monitoring until completion or success
Use Cases
Running production ML workflows on Ray with managed infrastructure
Scaling distributed AI workloads without maintaining cluster ops
Deploying low-latency production services backed by Ray
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Apr 1, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

Agent Infrastructure
Pricing

Pricing not publicly available

Details
www.anyscale.com
AddedApril 1, 2026
RefreshedApril 1, 2026
Agenticness
Guided Assistant
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportSingle model
Open sourceNo
Team supportEnterprise
Pricing modelSubscription
Interfacegui, api
Sources
WebFully managed Ray | Anyscale
WebDocumentation
Webanyscale on PyPI
Last updated April 1, 2026
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