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.
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.
Baidu publishes PaddleOCR, PaddlePaddle, and ERNIE Bot as named AI products. Baidu is used for Multimodal assistants and Deep-learning platforms work. Baidu publishes product infor
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
Huawei publishes MindSpore as named AI products. Huawei is used for Deep-learning platforms work. Huawei publishes product information at huawei.com. Huawei is grouped with Deep-le
Intel publishes OpenVINO Toolkit as named AI products. Intel is used for Deep-learning platforms work. Intel publishes product information at intel.com. Intel is grouped with Deep-
Helping open technology projects build world class open source software, communities and companies. Linux Foundation publishes Monocle, vLLM, and Kubeflow as named AI products. Lin
MathWorks publishes MATLAB Deep Learning Toolbox, Reduced Order Modeler, and Reinforcement Learning Toolbox as named AI products. MathWorks is used for Deep-learning platforms and
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
Products
Claimed products appear first. Ranking packs and payment do not change this list.
- JAX· Google
- Keras· Google
- MATLAB Deep Learning Toolbox· MathWorks
- MindSpore· Huawei
- NVIDIA AI Enterprise· NVIDIA
- NVIDIA CUDA-X AI· NVIDIA
- OpenVINO Toolkit· Intel
- PaddlePaddle· Baidu
- PyTorch· Linux Foundation
- TensorFlow· Google
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.