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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 #852 · 01/13/2023, 08:45 PM

#MoeCloud#CA Host Provider: MoeCloud Location: Toronto, Canada Specification: 4vCore (EPYC 7413) | 30GB SSD | 20TB @ 1Gbps | ¥ 97.3 / Mo Looking glass: ca.to.global.lg.lite.moe 感谢商家提供的测试机。商家介绍这是一款主打建站的产品。电信联通回程绕美,移动有可能绕美有可能绕欧洲。流量耗尽后变为不限流量 10Mbps. 性能不错,就是没有防御。 https://paste.red/p/795686fe1d3b

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