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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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@amazingeo · Post #630 · 02/13/2026, 08:31 PM
🌍 Tokyo’s Shinjuku train station is the world’s busiest, with over 3.5 million passengers passing through daily. Its vast underground networks are so complex that some exits are kilometers apart. ✨ #urbanization⚡#infrastructure⚡#transit⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #87 · 08/21/2025, 03:12 AM
🌍 Tokyo’s rail system is so efficient that over 13 billion train trips are made each year within the city. This high-capacity network helps keep the world’s largest metropolitan area moving smoothly. ✨ #Tokyo⚡#transit⚡#urban⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
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