Model training companies, products & suppliers

Training foundation or large models from data, not light fine-tunes or GPU hire alone. Jobs: pretraining jobs; distributed training; checkpoint management.

What is Model training?

Training foundation or large models from data, not light fine-tunes or GPU hire alone. Jobs: pretraining jobs; distributed training; checkpoint management.

What problems does it solve?

Training runs still depend on bespoke clusters and undocumented recipes.

Typical business use cases

  • Pretraining jobs
  • Distributed training
  • Checkpoint management

Important capabilities

  • Cluster scheduler
  • Checkpointing
  • Recipe configs

What buyers should evaluate

  • Data provenance
  • Checkpoint security
  • Cost controls

Risks and governance considerations

Training data of unknown origin in a weight the buyer will ship.

Procurement checklist

  • Data lineage
  • Checkpoint access
  • Licence of resulting weights

Relevant AI Trustmark assurance

AI Trustmark independent findings appear only when an assessment or certificate exists. Category membership does not imply verification.

Methodology · How verification works

Companies and providers

Claimed suppliers appear first so buyers can start with listings the company has taken ownership of. Payment does not buy this order.

  • Alibaba Cloud

    Alibaba Cloud publishes Alibaba Cloud PAI, Alibaba Cloud Model Studio, and Qwen Chat as named AI products. Alibaba Cloud is used for Multimodal assistants and LLMs work. Alibaba Cl

  • Amazon Web Services

    Amazon Web Services is Amazon's cloud division selling compute, storage, Bedrock model hosting and related AI infrastructure. Public pages cover regional cloud services for builder

  • Databricks

    Mosaic AI on Databricks unifies model building, evaluation, serving, and governance on the lakehouse. Public marketing also emphasises lakehouse-native GenAI/ML. It is presented fo

  • Google

    Google is a US technology company that sells consumer and cloud AI products, including Gemini, Search, and related developer APIs on Google Cloud. Google publishes Imagen, Gemini f

  • Graphcore

    Graphcore is a Bristol-origin semiconductor company known for Intelligence Processing Units for machine learning. Public materials cover AI compute hardware and software stacks for

  • HPE

    HPE is a leader in essential enterprise technology, bringing together the power of AI, cloud, and networking to help organizations unlock their boldest ambitions. HPE publishes HPE

  • Lightning AI

    Lightning AI publishes Lightning AI Studios as named AI products. Lightning AI is used for Model training work. Lightning AI publishes product information at lightning.ai. Lightnin

  • NVIDIA

    NVIDIA sells GPUs, CUDA software and AI enterprise stacks used for training and inference. Public pages cover data-centre, cloud and on-prem AI compute. NVIDIA publishes NVIDIA cuO

  • Red Hat

    Red Hat is the world’s leading provider of open source solutions, using a community-powered approach to provide reliable and high-performing cloud, virtualization, storage, Linux,

  • Saturn Cloud

    Saturn Cloud is the white-labeled control plane for GPU clouds: multi-tenant isolation, day-2 support, and integrated billing, running in your cloud under your brand. Saturn Cloud

Products

Claimed products appear first. Ranking packs and payment do not change this list.

Also used in this category

These products have a different primary category so they do not compete for the same ranking queries. They are listed here because buyers still encounter them in this job.

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Model training?

Training foundation or large models from data, not light fine-tunes or GPU hire alone. Jobs: pretraining jobs; distributed training; checkpoint management.

What should not be listed as Model training?

Products whose buyer job is fine-tuning UIs, GPU clouds, or experiment trackers. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Model training supplier?

No. A category listing is descriptive. Independent assessment is shown only on company or product pages that carry Trustmark evidence.

What model or provider changes should a buyer insist on being told about?

Material change usually includes a new model family, new region, new subprocessor, new write-capable tool, or a change that affects logging, privacy or human oversight. Those changes should trigger evidence refresh rather than a silent release.

How should buyers verify where AI customer data is processed?

Ask for the named processing locations, cloud regions and any subprocessors that see prompts, files or outputs. A directory listing is not evidence of residency. Independent assessment records the locations that were in scope on the assessment date.

Does a TrustMark on one product cover the rest of the company?

No. Independent assessment is scoped to the named organisation and, where relevant, the named product. Category pages list suppliers as a topic label. They do not imply that every listed company has been assessed.

What incident-handling evidence is useful for AI suppliers?

Buyers should see how AI-specific failures are detected, contained and notified — including unsafe outputs, data leakage and unauthorised agent actions. An incident policy that never mentions models, prompts or tools is incomplete for this class of product.

What security testing evidence should buyers request for an AI product?

Ask what was tested, against which version, whether prompt-injection, data-exfiltration and tenant isolation were in scope, and where failed prompts were stored. A generic ISO certificate or a vendor scanner screenshot is not by itself an AI TrustMark assessment.