Skip to content
InfratoApp
Layers / MLOps / Lifecycle / Training and fine-tuning / Determined AI

Determined AI

UNCLAIMED

TRAINING AND FINE-TUNINGEXPERIMENT TRACKING

Determined AI — Determined AI: The fastest and easiest way to build deep learning models. Listed under Training and fine-tuning in the MLOps / Lifecycle layer. 3 of 10 comparison attributes are recorded, each with the page it was read from.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow. ...

4 OF 4 SIGNALS HELD

Repositorydetermined-ai/determined

What it runs on, and what runs on it

0 cited edges
The differentiator

Computed 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.

No edges on record for Determined AI.

Nothing in the directory documents depending on it, and its own docs do not name what it runs on. An edge is only stored when a source states it.

Submit a documented integration →

Open-source signals

LICENCE
Apache-2.0
DOWNLOADS 30D
63,392
LAST COMMIT
2025-03-20

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 · 7 unanswered

10 questions declared by Training and fine-tuning and Experiment tracking. Most rows across the directory read like these.

ATTRIBUTEANSWEREVIDENCE · SOURCE
Distributed trainingYes
“GitHub - determined-ai/determined: Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.”
2026-10-27
Open sourceYes
“GitHub - determined-ai/determined: Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.”
2026-10-20
Web UIYes
“Web UI Use the Web UI to view loss curves, hyperparameter plots, code and configuration snapshots, model registries, cluster utilization, debugging logs, performance profiling reports, and more.”
2026-10-20
Deploymentno answer on record
Fine-tuning methodsno answer on record
Git-backedno answer on record
Hardwareno answer on record
Licenceno answer on record
Lineage trackingno answer on record
SSO / SAMLno answer on record

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

31 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.

ai-engineering.academyNO DEPENDENTS RECORDEDCOMPARE →
aimNO DEPENDENTS RECORDEDCOMPARE →
clearmlNO DEPENDENTS RECORDEDCOMPARE →

USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY

Frequently asked

Is Determined AI open source?
Yes — it is listed as open source, and its repository is the source for the activity figures on this page rather than anything the project says about itself.
Does Determined AI offer distributed training?
Yes. Read from their own page: “GitHub - determined-ai/determined: Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.”.
Does Determined AI offer open source?
Yes. Read from their own page: “GitHub - determined-ai/determined: Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.”.
What does a blank mean on the Determined AI page?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A blank is an absence of evidence, and this page shows how many of its questions are in that state rather than quietly leaving them out.
Where do the Determined AI figures come from?
Each one is read from a public page — usually the vendor's own documentation or pricing page — and carries a link to it with the date it was read. Nothing here is estimated, averaged across sources, or inferred from a similar product. If a figure cannot be traced to a page, it is not published.
Can Determined AI change what this page says?
They can claim the listing and supply or correct values, which are then labelled as theirs. They cannot remove the page, hide a comparison they are losing, or change a figure somebody else recorded with a source. Nothing on the page is for sale. How the site is paid for is set out under money and independence at /our-data#sec5.
Something here is wrong — how do I fix it?
Dispute the value. Every figure links to the page it was read from, so a dispute names the value and gives a source that contradicts it. That is the only lever anyone has over this page, and it is the same lever for the vendor, a competitor and a reader.

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, “Determined AI — Training and fine-tuning”, read 27 October 2026. Distributed training: Yes as published at github.com. https://www.infratoapp.com/products/determined-ai

What Determined AI 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.