Accelerating PyTorch Transformers with Intel Sapphire Rapids - part 2

This post benchmarks inference performance of popular PyTorch Transformers models on Intel Sapphire Rapids CPUs using Hugging Face Optimum Intel. It demonstrates a 60-65% speedup for single predictions and achieves single-digit prediction latency, comparable to GPUs, by leveraging AMX instructions with bfloat16 and JIT compilation. The post provides detailed setup instructions, benchmarking methodology, and full results for various models and sequence lengths.