AI TrustMark

Deep-learning platforms companies, products & suppliers

Infrastructure and frameworks for training deep neural nets at scale. Jobs: distributed dl training; framework environments; checkpointing of large nets.

What are Deep-learning platforms?

Infrastructure and frameworks for training deep neural nets at scale. Jobs: distributed dl training; framework environments; checkpointing of large nets.

What problems does it solve?

Research and production DL still need distributed training and experiment plumbing.

Typical business use cases

  • Distributed DL training
  • Framework environments
  • Checkpointing of large nets

Important capabilities

  • Frameworks
  • Multi-GPU
  • Job UI

What buyers should evaluate

  • Data gravity
  • Checkpoint security
  • Cost

Risks and governance considerations

Checkpoints of models trained on regulated data stored abroad.

Procurement checklist

  • Region
  • Checkpoint ACL
  • Framework lock-in

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

Products and providers

Open a product profile for its catalogue details, or use the provider link for the company profile. Claimed listings appear first, then by name. Payment never changes the order.

  • PaddlePaddle

    By Baidu

    PaddlePaddle is Baidu's platform, from Baidu, Inc. Published at paddlepaddle.org.cn. Directory filing: Deep-learning platforms. Vendor legal name on this product record: Baidu, Inc

  • JAX

    By Google

    JAX is an open-source Python library from Google for accelerator-oriented array computation and program transformation, built for high-performance numerical computing and large-sca

  • MindSpore

    By Huawei

    MindSpore is Huawei's platform, from Huawei Technologies Co., Ltd. Published at mindspore.cn. Directory filing: Deep-learning platforms. Vendor legal name on this product record: H

  • OpenVINO Toolkit

    By Intel

    OpenVINO Toolkit is Intel's platform, from Intel Corporation. Published at intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html. Directory filing: Deep-learni

  • PyTorch

    By Linux Foundation

    Helping open technology projects build world class open source software, communities and companies. PyTorch is Linux Foundation's platform, from The Linux Foundation. Published at

  • MATLAB Deep Learning Toolbox

    By MathWorks

    MATLAB Deep Learning Toolbox is MathWorks's software product, from The MathWorks, Inc. Published at mathworks.com/products/deep-learning.html. Directory filing: Deep-learning platf

  • NVIDIA AI Enterprise

    By NVIDIA

    NVIDIA AI Enterprise is a commercial, fully supported software suite that brings together microservices, frameworks and libraries for AI development with GPU orchestration and infr

Products

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

Related categories

Relevant procurement and assurance guides

Frequently asked questions

What is Deep-learning platforms?

Infrastructure and frameworks for training deep neural nets at scale. Jobs: distributed dl training; framework environments; checkpointing of large nets.

What should not be listed as Deep-learning platforms?

Products whose buyer job is AutoML, predictive-ML SaaS, or GPU hire alone. Those belong on their own category page so search queries are not split.

Has AI Trustmark independently assessed every Deep-learning platforms supplier?

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

What are Deep-learning platforms?

Infrastructure and frameworks for training deep neural nets at scale. Jobs: distributed dl training; framework environments; checkpointing of large nets.

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.