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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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@CryptoM · Post #64512 · 04/09/2026, 04:59 AM

🚀 Polymarket Settles Thunder vs. Clippers Game-Winner Market Polymarket has concluded the market for the Thunder vs. Clippers game after the Thunder emerged victorious. According to NS3.AI, the SolMoe account profited approximately $80,000 from this outcome. Prior to the game, the account had invested around $270,000 in Thunder-winning positions at a price of about 76.2¢. #Polymarket#Thunder#Clippers#GameWinner#NS3AI#SolMoe#SportsBetting#MarketSettlement