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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 #64488 · 04/09/2026, 02:45 AM

🚀 Crypto Industry Faces Severe Challenges Similar to 2019 The cryptocurrency sector is experiencing significant difficulties reminiscent of the extreme downturn in 2019. According to PANews, the industry is grappling with a severe lack of secondary market liquidity, a freeze in primary investment and financing activities, and a notable loss of talent. These challenges are contributing to a harsh environment for businesses and individuals involved in the crypto space. #CryptoIndustry#Challenges#2019Downturn#SecondaryMarketLiquidity#InvestmentFreeze#TalentLoss#CryptoBusinesses#CryptoSpace