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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 #65440 · 04/13/2026, 08:16 AM

🚀 DWF Labs Founder Predicts Older Coins Unlikely to Reach All-Time Highs DWF Labs founder Andrei Grachev has expressed skepticism about the potential for older cryptocurrencies to achieve their previous all-time highs. According to NS3.AI, Grachev noted that while the market dynamics have evolved, many of these older projects have not adapted accordingly. This observation suggests a challenging future for legacy cryptocurrencies in the rapidly changing digital asset landscape. #DWF Labs #Andrei Grachev #cryptocurrencies#all-time highs #NS3.AI #legacy cryptocurrencies #digital assets