Laya AI Runs on CPU-Only Servers: Benchmark Data Guides Deployment Sizing

The Laya AI project has published CPU benchmark data showing its models can run without a GPU, giving teams a basis for sizing deployments before purchasing hardware. On a 4-core AWS server (AMD EPYC, no SMT), the multilingual checkpoint answered one question in about 193 ms, while English and typed-decisions checkpoints took roughly 580 ms each. Unlike GPUs, CPU performance scales almost linearly with question volume, meaning batching offers little advantage and users should only send the questions they need per call. Thread configuration proved critical: on a test laptop, setting PyTorch thread counts to match physical cores delivered roughly 12x faster responses with no code changes. Cold-start load times run a few seconds, and running multiple checkpoints simultaneously can consume around 9 GiB of RAM, so the project recommends preloading only the models actively being served.