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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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@uxlink_community · Post #906 · 04/09/2026, 07:48 AM

New Partnership: UXLINK 🤝 C4E We’re excited to partner with @Chain4Energy to bring DePIN & Energy Management into the UXLINK Social Ecosystem! C4E is an AI-powered Layer 1 platform designed for real-world energy and e-mobility management through DePIN infrastructure. ⚡️🤖 Together, we are driving: 🔹 Social-led growth for sustainable energy 🔹 AI-powered intelligent coordination 🔹 Community-driven rewards & engagement Let’s build a greener and more connected Web3 together! 🔗🔋 #UXLINK#C4E#DePIN#Web3Social