In the Latest AI Research Google Explains How It Taps the Full Potential of Datacenter Machine Learning Accelerators with Platform Aware Neural Architecture Search (NAS)

Datacenter accelerators are pieces of hardware that are specifically built to process visual data. It’s a physical device or software program that boosts a computer’s overall performance. Continuous advancements in creating and delivering data center (DC) machine learning (ML) accelerators, such as TPUs and GPUs, have proven crucial for scaling up contemporary ML models and applications. These upgraded accelerators’ ultimate performance (e.g., FLOPs) is orders of magnitude higher than that of standard computing systems.

However, there is a rapidly widening …

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