Laya on CPU, No GPU: What I Measured on Three Machines Before Putting It in Production
38ms was with a GPU. On CPU, 94 to 848ms depending on the machine. Real benchmarks, the thread trap, ONNX vs PyTorch, and how the deployment ended up on a VPS.
Pragmatic guides, architectural decisions, and production takeaways from building resilient software, low-latency engines, and deterministic AI pipelines.
38ms was with a GPU. On CPU, 94 to 848ms depending on the machine. Real benchmarks, the thread trap, ONNX vs PyTorch, and how the deployment ended up on a VPS.
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40ms on GPU, 94 to 848ms on CPU depending on the machine, multilingual, and zero per-token cost. How Laya brings calibrated probabilistic inference to production pipelines alongside LLMs.
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