TensorFlow
AI Infrastructure
Custom-designed AI accelerator application-specific integrated circuits (ASICs) developed by Google specifically for neural network machine learning.
Detailed Explanation
Tensor Processing Units (TPUs) are custom-designed ASICs created by Google to accelerate neural network machine learning tasks. Built specifically for AI workloads, TPUs optimize the speed and efficiency of training and inference processes. They support large-scale data processing, enhance performance, and reduce latency in complex AI applications, making them a vital component of modern AI infrastructure.
Use Cases
- •Accelerate large-scale neural network training and inference in data centers for faster AI deployment and improved performance efficiency.
Related Terms
Other terms in the AI Infrastructure category