Features
- Access to Cluster of More Than 1,000 Cloud TPU Devices: Researchers accepted into the TRC program enjoy complimentary access to Cloud TPUs, enabling them to harness the power of over 1,000 devices. Supported frameworks include TensorFlow, PyTorch, Julia, and JAX, fostering a diverse research environment.
- Sharing of Research and Feedback with Google: TRC participants contribute to the global research community by sharing their TRC-supported research through peer-reviewed publications, open-source code, blog posts, or other means. Providing detailed feedback to Google helps continuously enhance the TRC program and the underlying Cloud TPU platform.
- Free Access to Cloud TPUs in Your Browser using Google Colab: Begin your Cloud TPU journey instantly by accessing them for free in your browser through Google Colab. Colab, a Jupyter notebook environment, requires no setup, making it an accessible platform for seamless exploration of Cloud TPUs.
- Designed to Expedite the Training and Running of Machine Learning Models: Cloud TPU hardware accelerators are purpose-built to expedite the training and execution of machine learning models, providing researchers with a high-performance environment for their work.
Use Cases:
- Machine Learning Research: Researchers can leverage the TRC program to accelerate the next wave of open research breakthroughs in machine learning, utilizing Cloud TPUs at no cost.
- Education: Students and educators can broaden their understanding of machine learning techniques by using Cloud TPUs through the TRC program, facilitating educational exploration.
Ignite innovation in machine learning research by unlocking new breakthroughs with the TPU Research Cloud program. Apply now for free access to Cloud TPUs and be at the forefront of the next wave of open research breakthroughs.
