- At the end of Google I/O, the company unveiled a new program to give researchers access to the company’s most advanced machine learning technologies for free.
- The TensorFlow Research Cloud program, as it will be called, will be application based and open to anyone conducting research, rather than just members of academia.
- If accepted, researchers will get access to a cluster of 1,000 Cloud TPUs for training and inference.
- If that level of openness isn’t your cup of tea, Google is also planning to launch a Cloud TPU Alpha program for internal, private sector, work.
- The application for the program isn’t open yet, but Google is directing interested parties to fill out a form indicating interest.
At the end of Google I/O, the company unveiled a new program to give researchers access to the company’s most advanced machine learning technologies for..
Continue reading “Google is giving a cluster of 1,000 Cloud TPUs to researchers for free”
- Our goal is to ensure that the most promising researchers in the world have access to enough compute power to imagine, implement, and publish the next wave of ML breakthroughs.
- We’re setting up a program to accept applications for access to the TensorFlow Research Cloud and will evaluate applications on a rolling basis.
- The program will be highly selective since demand for ML compute is overwhelming, but we specifically encourage individuals with a wide range of backgrounds, affiliations, and interests to apply.
- The program will start small and scale up.
Researchers need enormous computational resources to train the machine learning models that have delivered
recent advances in medical imaging, speech recognition, game playing, and many other domains. The TensorFlow
Research Cloud is a cluster of 1,000 Cloud TPUs that provides the machine learning research community with
a total of 180 petaflops of raw compute power — at no charge — to support the next wave of breakthroughs.
Continue reading “Accelerating open machine learning research with Cloud TPUs”