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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 #801 · 07/25/2022, 02:31 AM

#Marbell#CH Host Provider: Marbell Location: Zurich, Switzerland Specification: 2vCore | 2GB RAM | 120GB SSD | 1TB @ 1Gbps | ~$3.90 / Mo Test IP: 185.203.41.129 https://paste.red/p/eb86d0e3ca29 匿名投稿。储存空间挺大的 m247 机房机器。他们家声称保证 100% uptime.

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