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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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@revheadcrypto · Post #62 · 07/08/2024, 01:58 PM

Such a tragic incident, but thankfully the driver came out unharmed 🙏 Hennessy Venom F5 met with an accident while testing at speeds just below 400 km/h on the runway of Kennedy Space Center. The primary aim of the test was to evaluate new aerodynamic details. Regrettably, the crash occurred due to these enhancements: at approximately 386 km/h, the 1817-horsepower Venom F5 took flight and somersaulted several times. While the test prototype suffered damage, the driver remained uninjured. #Hennessy#VenomF5#Crash#HighSpeedTesting#Auto🚗✈️