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Layers / MLOps / Lifecycle / Training and fine-tuning / Amazon SageMaker

Amazon SageMaker

UNCLAIMEDClaim this listing

By Amazon

TRAINING AND FINE-TUNING

Amazon SageMaker — Open source library for training and deploying models on Amazon SageMaker. 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.

The next generation of Amazon SageMaker is the center for all your data, analytics, and AI

2 OF 4 SIGNALS HELD · MISSING LICENCE, REPOSITORY

WebsiteDocsPricing page

What it runs on, and what runs on it

2 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.

RUNS ON / INTEGRATES WITH

  • nothing recorded

USED BY

Agentic surface

1 integration

MCP servers and agent skills that name Amazon SageMaker as their official vendor, or that mention wrapping it. Unverified means a mention in the tool’s own description, not a citation.

Open-source signals

LICENCE
not measured
STARS
not measured
DOWNLOADS 30D
17,754,171
LAST COMMIT
not measured

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.

The seller publishes a pricing page, linked above, but we read no rate from it. Either it quotes by sales call rather than in public, or the last reading passed 21 days and was hidden rather than shown stale. 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 unanswered

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

ATTRIBUTEANSWEREVIDENCE · SOURCE
Deploymentcloud only2026-09-22
HardwareGPU, CPU
“For training a model on a tabular dataset, start with the smallest CPU instance of the C4 or C5 instance families. For training a large model for computer vision or natural language processing, start with the smallest GPU instance of the P2, P3, G4dn or G5 instance families.”
2026-10-06
Open sourceYes
“Open edX is an open-source, distributed learning platform that, when implemented on AWS, can scale flexibly to optimize cost and maximize availability.”
2026-09-29
Distributed trainingno answer on record
Fine-tuning methodsno answer on record
Licenceno answer on record
Web UIno 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

More from Amazon

3 other products from Amazon. Listed under the same organisation record — see the company page.

Amazon NovaModel / FoundationAmazon Web ServicesThe largest public cloud, and the default most teams compare againstCompute / CloudAWS TrainiumAI AcceleratorSilicon / Hardware

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.

Weights & BiasesUSED BY 23COMPARE →
Neptune.aiUSED BY 1COMPARE →
ai-engineering.academyNO DEPENDENTS RECORDEDCOMPARE →
custom-diffusionNO DEPENDENTS RECORDEDCOMPARE →
Determined AINO DEPENDENTS RECORDEDCOMPARE →
dstackNO DEPENDENTS RECORDEDCOMPARE →
fasteraiNO DEPENDENTS RECORDEDCOMPARE →
fedmlNO DEPENDENTS RECORDEDCOMPARE →

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

Frequently asked

Does Amazon SageMaker offer open source?
Yes. Read from their own page: “Open edX is an open-source, distributed learning platform that, when implemented on AWS, can scale flexibly to optimize cost and maximize availability.”.
What does a blank mean on the Amazon SageMaker 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 Amazon SageMaker 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 Amazon SageMaker 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.
Is this listing run by Amazon?
No. It is built from public sources, and no value on it came from the company. Anyone with an address at aws.amazon.com can claim it for free. A claim lets the company write the tagline, description and logo, and answer blank questions or add dependencies, each marked as theirs with a source. Prices, licence and OSS figures stay as the directory read them, category changes only through our review, and each can be disputed with a source.

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, “Amazon SageMaker — Training and fine-tuning”, read 22 September 2026. Deployment: cloud only as published at aws.amazon.com. https://www.infratoapp.com/products/amazon-sagemaker

What Amazon SageMaker can and cannot change here

Claiming Amazon 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.

Claim AmazonFree · email at aws.amazon.com