Mini toolsDefinition
Custom-designed AI accelerator application-specific integrated circuits (ASICs) developed by Google specifically for neural network machine learning.
Detailed Explanation
TPUs are custom-developed chips optimized specifically for Google's TensorFlow machine learning framework. They use a systolic array matrix processor design that makes them highly efficient at the matrix multiplication operations central to deep learning. TPUs operate on tensors (multi-dimensional arrays) with baked-in support for quantization and other ML-specific optimizations, offering 15-30x higher performance and 30-80x higher performance-per-watt than contemporary GPUs and CPUs for machine learning workloads.
Use Cases
Large-scale machine learning model training and inference, powering Google services like Search, Maps, Photos, and Cloud TPU services for enterprise customers
