![]() ![]() “Early access to TPU v4 has enabled us to achieve breakthroughs in conversational AI programming with our CodeGen, a 16-billion parameter auto-regressive language model that turns simple English prompts into executable code.” - Erik Nijkamp, Research Scientist, Salesforce ![]() Read more about the ML hub with Cloud TPU v4 here. With eight TPU v4 pods in a single data center, generating 9 exaflops of peak performance, we believe this system is the world's largest publicly available ML hub in terms of cumulative computing power, while operating at 90% carbon-free energy. Google Cloud's machine learning cluster with Cloud TPU v4 pods (in Preview), allows researchers and developers to make AI breakthroughs by training larger and more complex models faster, to power workloads like large-scale natural language processing (NLP), recommendation systems, and computer vision. Google and Alphabet CEO Sundar Pichai kicked off Day 1 of I/O with a powerhouse keynote highlighting recent breakthroughs in machine learning, including one of the fastest, most efficient, and most sustainable ML infrastructure hubs in the world. Let’s start with the keynotes… Google I/O keynote We do the heavy lifting, embedding the expertise from years of Google research in areas like AI/ML and security, so you can easily build secure and intelligent solutions for your customers. Google Cloud and Google Workspace had a big presence at the show, talking about our commitment to building intuitive and helpful developer experiences to help you innovate freely and quickly. ![]() This week is Google I/O, our largest developer conference, where developer communities from around the world come together to learn, catch up, and have fun. ![]()
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