Future-proof your PC in 2025 with smart upgrades for AI workloads. Learn which CPU, GPU, RAM, storage, and cooling solutions ...

How to install CUDA & cuDNN for Machine Learning. Contribute to milistu/cuda-cudnn-installation development by creating an account on GitHub.

开源机器学习框架PyTorch的最新版本2.8正式发布，带来了多个令人瞩目的新特性，尤其是在Intel CPU上显著提升了量化大语言模型（LLM）的推理性能。

PyTorch 2.8的核心亮点之一是其在Intel CPU上对量化LLM推理性能的显著提升。 该版本支持多种量化模式，包括A16W8、DA8W8、A16W4等，使得用户能够在原生PyTorch框架下实现更高效的推理处理。

Sigh. Yes, we are very much aware about the general issue of the CPU overhead being higher than the native pyTorch operators (although were not quite aware about impact being higher on Grace, will ...