Tpu

AI Accelerators: GPUs, TPUs and Beyond AI workloads rely on hardware that can perform many operations in parallel. GPUs remain the most versatile starting point, offering strong speed and broad software support. TPUs push tensor math to high throughput in cloud settings. Beyond these, FPGAs, ASICs, and newer edge chips target specific tasks with higher efficiency. The best choice depends on the model size, the data stream, and where the model runs—on a data center, in the cloud, or on a device. ...