Was ist GPU (Graphics Processing Unit) & TPU (Tensor Processing Unit)

Definition

GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units) are specialized microprocessors engineered for parallel mathematical computations, delivering the essential processing power needed to train and deploy machine learning models.

Explanation

Unlike traditional Central Processing Units (CPUs), which are designed for versatile, sequential computing tasks, GPUs harness thousands of cores to process vast data streams concurrently. TPUs, specifically developed by Google for tensor computations – the mathematical backbone of neural networks – offer even greater efficiency and speed for deep learning workloads. For B2B and SaaS companies, these hardware accelerators are indispensable, making the training of Large Language Models (LLMs) and complex image processing algorithms feasible within commercially viable timelines. Businesses commonly leverage GPU and TPU resources through cloud providers to circumvent significant capital expenditure. The availability and optimal utilization of these computing resources critically influence the deployment speed and operational costs of modern AI applications.