An AI accelerator is a processor or processing unit optimized for AI workloads. It provides high parallel throughput, fast memory movement and numerical formats suited to neural-network operations that would be slower or less efficient on a general-purpose CPU.
Accelerators include GPUs and dedicated neural-processing chips. Model performance depends on software support as well as hardware, because kernels, compilers, memory layout and serving frameworks must use the device effectively. Supporting more accelerator vendors can reduce dependence on one hardware ecosystem.
ELI5
An accelerator is specialized computing hardware built to perform AI calculations efficiently. It handles many mathematical operations in parallel and moves model data quickly through suitable memory.
For example, a graphics processor can train or run a neural network much faster than a general-purpose processor on the same workload. Good software, kernels, memory layout, and compilers are still needed to use the hardware well.
