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Google Cloud’s new TPU v4ML hub pack 9 Exaflops AI




Almost exactly a year ago, Google launched the Tensor Processing Unit (TPU) v4 chip on Google I / O 2021, promising twice the performance of TPU v3. At the time, Google CEO Sundar Pichai said that Google’s data centers would soon be equipped with dozens of TPU v4 pods, many of which run on nearly 90% carbon-free energy. Now at Google I / O 2022, Pichai unveiled the fruits of these labor blue ribbons. A TPU v4 data center in Mayes County, Oklahoma, Google states it is the world’s largest publicly available machine learning hub.

The machine learning hub has eight CloudTPU v4 pods, custom-built on the same network infrastructure that enhances Google’s largest neural model, Pichai said. Google’s TPU v4 pods consist of 4,096 TPU v4 chips, each chip providing 275 teraflops of ML target bfloat 16 (brain floating point) performance. In total, this means that each TPU pod packs about 1.13 bfloat16 exaflops of AI power, and the Mayes County data center pods total about 9 exaflops. Google says it will be the world’s largest such hub in terms of cumulative computing power, at least among those accessible to the general public.

“Based on a recent survey of 2,000 IT decision makers, we found that inadequate infrastructure capabilities are often the root cause of AI project failures,” said IDC Senior Researcher. Vice President Matt Eastwood commented. To address the growing importance of dedicated AI infrastructure for enterprises, Google has launched a new machine learning cluster in Oklahoma with 9 Exaflops of aggregate computing. We believe this is the largest publicly available ML hub.[.]

Google I / O Sundar Pichai. Google image provided.

In addition, according to Google, this hub runs on 90% carbon-free energy every hour, which is difficult given the intermittent renewable energy sources. Click here for more information on Google’s methodology for carbon-free energy. However, not all efficiency gains are due to Google’s commitment to renewable energy. The TPU v4 chip provides about three times the flops per watt compared to TPU v3, and the entire data center operates with a power utilization efficiency (PUE) of 1.10. It is one of the most energy efficient data centers in the world, according to Google. This has helped Pichai achieve its goal of becoming the first major company to operate all data centers and campuses globally with 24/7 carbon-free energy by 2030, Pichai said. Stated in O.

We hope that this will facilitate innovation in many areas, from healthcare to logistics to sustainability. To that end, Google has been running the TPU Research Cloud (TRC) program for several years, providing TPU access to ML enthusiasts around the world.

Jeff Dean, Senior Vice President of Google Research and AI, has written hundreds of articles on topics ranging from creating Persian poems using AI to identifying sleep and exercise fatigue using computer vision and behavioral genetics. We publish an open source github library. .. The release of Cloud TPU v4 is an important milestone for both Google Research and the TRC program, and we are very excited about the long-term collaboration with ML developers around the world to get the most out of AI.

Pitchai, in I / O, suggests that this is just one of the deeper commitments to an efficient and powerful data center, planning a $ 9.5 billion investment in data centers and offices across the United States in 2022 alone. I said that I am doing it.




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