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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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Venture Village Wall 🦄

@venturevillagewall · Post #4105 · 02/09/2025, 10:00 AM

Bitcoin Mining Difficulty Hits New High On February 9, Bitcoin mining difficulty surged by 5.61%, reaching a historic maximum of 114.17 trillion. Hashrate has also hit an all-time high of 864.8 EH/s, with the average block time now at 9.5 minutes. Read more here. #Bitcoin#Mining#Blockchain#Crypto#Economics#Tech#Trends#Innovation#Hashrate#Difficulty#Market