ray
UNCLAIMEDray — Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. Listed under Training and fine-tuning in the MLOps / Lifecycle layer. 3 of 7 comparison attributes are recorded, each with the page it was read from.
Ray is an open source framework for managing, executing, and optimizing compute needs. Unify AI workloads with Ray by Anyscale. Try it for free today.
4 OF 4 SIGNALS HELD
What it runs on, and what runs on it
1 cited edgeComputed from the stack graph, both directions. Every cited edge links the page it was read from; a vendor-added one links the vendor’s own source — this is the reason to be here rather than on the vendor’s own site.
RUNS ON / INTEGRATES WITH
- Anyscaleintegrates with sourceJSON
USED BY
- nothing recorded
Open-source signals
A HOLLOW RING IS UNMEASURED, NOT ZERO · WE DO NOT SUBSTITUTE A PARENT COMPANY’S REPOSITORY FOR A PRODUCT THAT HAS NONE
Price
We hold no price for this product.
This is open-source software: you can run it yourself and the licence costs nothing. If the project also sells a hosted service, we do not yet hold the page it prices it on. If that changes — or if you publish /.well-known/pricing.json — it appears here with a capture date.
How we read prices →What its categories ask
3 answered · 4 unanswered7 questions declared by Training and fine-tuning. Most rows across the directory read like these.
“Run distributed training, including Gen AI foundation models, time series models, and traditional AI / ML models like XGBoost at scale with 1 line of code.”2026-10-20
“Support any data types and model architectures Use heterogenous GPUs and CPUs with fine-grained, independent scaling”2026-10-20
“Backed by a growing open source community, Ray powers today's AI leaders while evolving for tomorrow's AI innovations.”2026-10-20
A ROW WITH NO ANSWER IS NOT A ROW WITH A “NO” · A VENDOR MAY ANSWER A BLANK ONE, MARKED VENDOR CLAIMED WITH ITS SOURCE · A DOCUMENTED VALUE IS DISPUTED, NOT OVERWRITTEN, AND STAYS VISIBLE WHILE WE RE-READ THE SOURCE
Practitioner reviews
Nobody has written one yet.
A review here is structured, not a star: hardware, scale band, what broke in production, and whether you would choose it again.
NO PERCENTAGE IS SHOWN UNDER FIVE REVIEWS · NO STAR RATINGS, EVER
Also in this category
25 products in Training and fine-tuning. Comparison defaults to within the category — pairing this with a GPU cloud would produce a page that means nothing.
USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY
Frequently asked
Is ray open source?
What does ray run on?
Does ray offer distributed training?
Does ray offer open source?
What does a blank mean on the ray page?
Where do the ray figures come from?
Can ray change what this page says?
Something here is wrong — how do I fix it?
Is this listing run by ray?
Cite this page
A model that quotes us should quote us correctly. The reading and its date sit inside the citation rather than beside it, because a quotation carrying only a URL goes wrong the week the URL changes.
infratoapp, “ray — Training and fine-tuning”, read 20 October 2026. Distributed training: Yes as published at ray.io. https://www.infratoapp.com/products/ray
What ray can and cannot change here
Claiming the organisation lets its admins and editors change the tagline, description, logo, docs link and deployment model of every product that org owns — live, labelled as theirs, and logged. Answers to blank questions and dependencies go live too, marked as the owner’s and sourced; a documented answer cannot be overwritten. Everything else on this page is a stated fact with a dispute route: price, licence and OSS figures. Those columns are ungranted at the database level, so they are not a feature we withheld — they are a write that cannot happen. Name, category, website, pricing page and package names can be changed by the owner only through our review. A dispute never deletes a value; it marks it and publishes the correction.