Google’s Cloud TPU v3 Pods set AI training records
Google Cloud Platform (GCP) has set three new performance records in the latest round of the MLPerf benchmark competition.
All three record-setting results ran on Cloud TPU v3 Pods, which are optimized for machine learning. Each of the winning runs used less than two minutes of compute time.
Google says it is the first public cloud provider to outperform on-premise systems when running large-scale, industry-standard ML training workloads of Transformer, Single Shot Detector (SSD), and ResNet-50.
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You just read about All. A technology from the archive that helped get us here:
Google/Alphabet Project Loon served 2011–2021. What ultimately replaced it?
Google/Alphabet Project Loon solar-powered balloons drifting in the stratosphere (~20 km), steering by rising and falling into different wind layers, relaying LTE from ground stations to phones far below. Its job passed to Unit economics — but the problem it solved, and the ideas it proved, live on in what replaced it. The standard rests here in the archive. One of 198 technologies here that opened a door and then held it for the next.
All three record-setting results ran on Cloud TPU v3 Pods, which are optimized for machine learning. Each of the winning runs used less than two minutes of compute time.
