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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 #785 · 06/09/2022, 02:54 PM

#LightNode#JP#HND HostProvider: LightNode Location: Tokyo, Japan Specification: 1vCore (AMD 3900X) | 2GB RAM | 50GB Disk | 1000GB @ 100Mbps | $7.71 / Month Looking glass: www.lightnode.com/en-US/speed/jp-tokyo-1?id=36 面板的英文写的挺感人的。系统可以选 Windows 不额外加钱。联通电信回程 TATA 绕美,移动 bbtec 直连 / pccw 绕香港. https://paste.red/p/8e0ba6a6ab34