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Source channel @githubtrending · Post #14747 · May 25

#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models. https://github.com/intel/intel-extension-for-pytorch

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Host Testing and evaluation

@HostEvaluate · Post #884 · 03/16/2025, 01:18 PM

#nomao#NL#AMS Host Provider: Nomao (虚妄猫) Location: Amsterdam, Netherlands Specification: 1vCore(Xeon E-2388G) | 1G RAM | 1.6TB Disk | 2T @ 1Gbps | IPv6 Only | ¥25.5 / Mo 国人 oneman 新出的荷兰大硬盘 VPS,纯 IPv6。玩具机,目前估计负载不大所以性能不错,Leaseweb 机房。做个收录。 https://paste.debian.net/hidden/c47804e3/