Determined is an open source deep learning training platform that makes building models fast and easy. With high-performance distributed training, state-of-the-art hyperparameter tuning, GPU scheduling, and model management in a single integrated environment, Determined lets you focus on building models, not managing infrastructure.

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Determined AI

Determined AI's headquarters in San Francisco, CA, United States

This department provides expert guidance and strategic advice to support organizational decision-making.

Advisory Services

The Engineering Team at Determined AI is responsible for developing and maintaining the company's open source deep learning training platform. This includes enhancing features like high-performance distributed training, hyperparameter tuning, GPU scheduling, and model management. The team ensures seamless integration and optimal performance to empower users in building and training models efficiently, while also providing support and advocating for best practices in machine learning development.

Engineering Team

The Product and Engineering team at Determined AI collaborates to enhance and innovate the deep learning training platform. The UX Designer ensures the platform is intuitive and user-friendly, while the Product Managers identify customer needs and define product roadmaps. The Engineering Managers oversee the technical development and implementation, ensuring high-performance distributed training, hyperparameter tuning, and seamless GPU scheduling to empower users to build models efficiently without dealing with complex infrastructure.

Product and Engineering

The Leadership Team at Determined AI drives the strategic direction and innovation of the company by leveraging their expertise in deep learning and technology. This team, composed of the CEO, CTO, and Chief Scientists, collaborates to shape product vision, optimize operational efficiency, and foster a culture of excellence, ensuring that the platform remains at the forefront of the AI industry while meeting the evolving needs of its users.

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Engineering Team

Product and Engineering

Leadership Team