Using TensorFlow with Determined AI’s open-source deep learning platform, millions of machine learning engineers can now build sophisticated deep learning models more quickly and at lower cost.

We are excited to announce that Determined AI has been selected as a TensorFlow AI Service Partner. Today, companies of all sizes are solving complex problems using machine learning, but implementation can be a real challenge without knowledge, experience, or resources in-house to get started. Tech giants like Google, Facebook, and Microsoft have a massive advantage due to internal infrastructure that makes ML model development simpler and cheaper, which has directly led to transformative AI-powered applications such as self-driving cars and virtual assistants. For the rest of the world, Determined AI and TensorFlow make it easy for machine learning engineers to build high-quality models and get them to production more quickly and at lower cost, so they too can build complex, innovative applications.

TensorFlow is an open-source end-to-end machine learning platform that makes it easy for engineers to build and deploy machine learning models. Determined AI’s open-source deep learning training platform makes it easy to train TensorFlow models more quickly with distributed training, to use state-of-the-art hyperparameter tuning to improve model performance, and to easily track experiment metrics, without needing to write boilerplate code or spend their time managing systems infrastructure. TensorFlow is widely used by Determined AI customers for tasks including computer vision, natural language processing (NLP), and recommendation.

Determined AI co-founder and CEO Evan Sparks says the TensorFlow AI Service Partners program will help ensure that businesses of all sizes can solve challenging, real-world problems with machine learning and the best technology available:

“We are thrilled to join the program and are excited that TensorFlow is bringing together the best of class AI Service companies to help drive large scale adoption of AI in the enterprise”.

Determined enables data scientists to focus on building models, not managing infrastructure or writing boilerplate code. To get started in five minutes, check out the Quick Start Guide. Determined can be installed on the public cloud, an on-premise cluster, or a local development machine. Determined AI supports both TensorFlow 1 and 2, using either the tf.keras or TF Estimators APIs.

If you’d like to get in touch, join our thriving Slack community, check out Determined on GitHub, or drop us a line at ai-open-source@hpe.com.

About Determined AI

Determined AI’s open-source deep learning training platform reduces time-to-market by increasing developer productivity, improving resource (GPU) utilization, and reducing risk. Organizations of all sizes, from startups to the Global 2000, have chosen Determined AI for their deep learning model training needs. Determined AI is headquartered in San Francisco and is backed by leading VCs, including GV (formerly Google Ventures), Amplify Partners, Haystack, and SV Angel.