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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 #64959 · 04/10/2026, 12:23 PM

🚀 BitFuFu Reports March Bitcoin Production Figures Bitcoin mining company BitFuFu has released its operational data for March. According to Foresight News, the company produced a total of 214 BTC during the month, with 171 BTC mined through cloud computing and 43 BTC mined using its own computing power. This marks a decrease from February's production of 227 BTC. In March, BitFuFu sold 80 BTC, and as of March 31, the company held 1,794 BTC. #Bitcoin#BitFuFu#CryptoMining#BTC#CloudMining#MiningReport#Cryptocurrency#Blockchain