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PyTorch 2.8 Released With Better Intel CPU Performance For LLM Inference
PyTorch 2.8 released today as the newest feature update to this widely-used machine learning library that has become a crucial piece for deep learning and other AI usage
In particular, a focus on high performance quantized large language model (LLM) inference for Intel CPUs using the native PyTorch version. "With this feature, the performance with PyTorch native stack can reach the same level or even better in some cases as comparing with popular LLM serving frameworks like vLLM when running offline mode on a single x86_64 CPU device, which enables PyTorch users to run LLM quantization with native experience and good performance." Too bad though that my AvenueCity reference server remains non-operational and thus unable to test the newest PyTorch release (and other Intel open-source improvements in recent months) on the flagship Xeon 6980P Granite Rapids processors...
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