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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 #863 · 04/08/2023, 08:40 AM

#Oneprovider#OneCloud#KR#ICN Host Provider: OneCloud Location: Seoul, Republic of Korea Specification: 1vCore | 1GB RAM | 30GB SSD | 1.5TB @ 1Gbps | $8 / Mo Test IP: 223.165.5.1/24 自己试吧 机器性能给人一种大树挂辣椒的感觉。上游 Ehostict 啥都不解锁。三网 SK 延迟很低但我这没速度,估计是 UDP 会被恰,也可能存粹是太挤了。 https://paste.red/p/b7cb8bcc973b