Ray and Ray Train

Distributed compute framework with strong AI training support.

Distributed TrainingFrameworkDistributedTrainingFrameworks

About

Distributed compute framework with strong AI training support. Ray, originating from UC Berkeley's RISELab and now developed by Anyscale, provides a general-purpose distributed compute framework with strong AI training support through Ray Train.

Enterprise Readiness

from cataloged data

12/100 · Emerging

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, Self-Hosted

Integration DepthNot disclosed

No integrations listed

Proven AdoptionNot disclosed

No published adoption signals

Company MaturityNot disclosed

Company maturity not disclosed

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Active

last GitHub commit 0d ago

GitHub API2026-05-27

ray-project

Open source product· 43.3k★· Apache-2.0· active 2mo ago

Python · HTML · Shell · Go

cooling · +427★ (+1%) 30d

PyPI registry

ray

v2.55.1· 57.3M/mo· Apache 2.0· released 3mo ago

OSV vulnerability feed2026-07-20

21 known advisories

6 critical2 high· 13 other· last update 11d ago

Pricing snapshot2026-05-27

No pricing page found

Enterprise Use Cases

Integrations

How Ray and Ray Train compares

Tool	Readiness	Pricing	Deployment	Compliance
Ray and Ray Train	12 · Emerging	Paid	Cloud, Self-Hosted	—
Aim	12 · Emerging	Paid	Cloud, Self-Hosted	—
Argilla	12 · Emerging	Paid	Cloud, Self-Hosted	—
Colossal-AI	12 · Emerging	Paid	Cloud, Self-Hosted	—

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Ray and Ray Train used for?

Ray and Ray Train is distributed compute framework with strong AI training support.

Is Ray and Ray Train free, and how is it priced?

Ray and Ray Train is a paid product. Pricing is set by the vendor — check the official site for current plans.

How can Ray and Ray Train be deployed?

Ray and Ray Train supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

Is Ray and Ray Train enterprise-ready?

Based on cataloged data, Ray and Ray Train has an Enterprise Readiness score of 12/100 (Emerging tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingPaid

DeploymentCloud, Self-Hosted

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