List of Microsoft Cognitive Toolkit Customers
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Since 2010, our global team of researchers has been studying Microsoft Cognitive Toolkit customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Microsoft Cognitive Toolkit for AI Frameworks and Libraries from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Microsoft Cognitive Toolkit for AI Frameworks and Libraries include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, Cscs Switzerland, a Switzerland based Education organisation with 150 employees and revenues of $27.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Cognitive Toolkit, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cscs Switzerland | Education | 150 | $27M | Switzerland | Microsoft | Microsoft Cognitive Toolkit | AI Frameworks and Libraries | 2016 | n/a |
In 2016, CSCS Switzerland deployed Microsoft Cognitive Toolkit as part of its AI Frameworks and Libraries work on the Piz Daint Cray XC50 supercomputer. The effort was a collaboration with Microsoft and Cray to run CNTK at HPC scale and to embed deep learning into scientific computing workflows.
Implementation concentrated on scaling the Microsoft Cognitive Toolkit across more than 1,000 NVIDIA P100 GPUs on the Cray XC50 architecture, adapting the framework to multi node multi GPU training on supercomputer interconnects and parallel storage. Functional capabilities implemented included large scale model training for image video and language tasks, distributed training orchestration and optimization of batch workflows to leverage HPC schedulers and GPU partitions.
Operational coverage targeted CSCS research users at the Piz Daint facility in Switzerland, bringing AI Frameworks and Libraries into standard scientific research pipelines and HPC operations. The deployment scaled CNTK to more than 1,000 GPUs and greatly reduced model training time, enabling larger and more complex models for image video and language research as reported by CSCS and its technology partners.
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Microsoft | Professional Services | 221000 | $243.0B | United States | Microsoft | Microsoft Cognitive Toolkit | AI Frameworks and Libraries | 2015 | n/a |
In 2015 Microsoft implemented the Microsoft Cognitive Toolkit as an AI Frameworks and Libraries solution. Multiple Microsoft product teams including Cortana, Skype Translator, Bing and Xbox used the Microsoft Cognitive Toolkit to train production-scale deep learning models for speech, translation, search relevance and gaming features, with deployments in the United States and across global engineering teams. The implementation was adopted across product engineering organizations to support research and production workloads. Adoption centered on using a common toolkit for model development and training consistency across teams.
The Microsoft Cognitive Toolkit implementation emphasized high-performance distributed GPU training and production-scale model training workflows. Functional capabilities implemented included deep neural network construction, sequence modeling for speech and translation, and distributed training workflows to scale across multiple GPUs. Training pipelines were configured to support iterative model development, large batch training and model export for production inference.
Integrations were executed at the model training and inference boundaries within each product stack, enabling trained models to feed Cortana speech pipelines, Skype Translator translation services, Bing relevance ranking and Xbox gaming features. Operational coverage included training pipelines, model versioning and deployment into cloud GPU clusters for inference. CNTK became a standardized component of deep learning pipelines used by multiple product groups.
CNTK adoption inside Microsoft enabled high-performance distributed GPU training that contributed to significant improvements in speech recognition accuracy and scalable model training across GPUs. The Microsoft Cognitive Toolkit provided an AI Frameworks and Libraries foundation for production-grade deep learning across business functions including speech, translation, search and gaming.
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