How IPRally built their ML platform on Ray and GKE
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Learn how the patent search engine company IPRally created a custom compute platform to enable higher scale data processing and deep learning. Discover how their solution relies on Ray Core and Google Kubernetes Engine to harvest the cheapest resources from all around the world. Their work improved the efficiency of search, but the goal was to build the best environment for machine learning R&D. Find out how this was achieved with integration to Weights & Biases as the experiment tracking system.
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