Hardware Accelerators: GPUs, TPUs and Beyond
Hardware Accelerators: GPUs, TPUs and Beyond Hardware accelerators shape how we train and deploy modern AI. GPUs, TPUs and beyond offer different strengths for different tasks. This guide explains the main options and practical tips to choose the right tool for your workload. GPUs are built for parallel work. They have many cores, high memory bandwidth, and broad software support. They shine in training large models and in research where flexibility matters. With common frameworks like PyTorch and TensorFlow, you can use mixed precision to speed up training while keeping accuracy. In practice, a single GPU or a few can handle experiments quickly, and cloud options make it easy to scale up. ...