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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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AIGC

@aigcrubbish · Post #201 · 02/18/2026, 05:48 PM

[$] More accurate congestion notification for TCP 更准确的 TCP 拥塞通知机制 AccECN 即将在 Linux 内核 7.0 版本中默认启用。这一机制改进了 TCP 协议中显式拥塞通知(ECN)的精度,有望提升公共和私有网络中的流量传输效率。 AccECN 通过更精细地反馈网络拥塞状况,帮助 TCP 连接更及时地调整数据传输速率,从而减少延迟和丢包。该功能已在过去几个内核版本中逐步引入,7.0 版本将默认开启以供广泛使用。 原文链接:https://lwn.net/Articles/1058666/ #网络协议#Linux内核#TCP#ECN #AIGC Read more