Learn how the patent search engine company IPRally created a custom compute platform to enable higher scale data processing and deep learning. The solution relies on Ray Core and Google Kubernetes Engine, and harvests the cheapest resources from all around the world. In addition to the efficiency, the goal was to build the best environment for machine learning R&D. This has been achieved with integration to Weights&Biases as the experiment tracking system. In this session, we’ll go through on a high level the solution. Please note: seating is limited and on a first-come, first served basis; standing areas are available

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.