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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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Crypto M - Crypto News

@CryptoM · Post #65225 · 04/12/2026, 04:30 AM

🚀 Stablecoin Transaction Volume Projected to Surge by 2035 Chainalysis has projected a significant increase in the inflation-adjusted real economic transaction volume of stablecoins, estimating a rise from $28 trillion in 2025 to $719 trillion by 2035. According to NS3.AI, this growth could see stablecoin payment processing volumes reaching parity with Visa between 2031 and 2039. #Stablecoin#TransactionVolume#Crypto#Blockchain#Finance#PaymentProcessing#Visa#EconomicGrowth#NS3AI#Chainalysis