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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 #4042 · 01/31/2025, 10:00 PM

Grayscale Launches Dogecoin Trust 🚀 Grayscale Investments has launched the Grayscale Dogecoin Trust, redefining DOGE from a meme to an investment asset. The trust aims to offer accredited investors direct exposure to DOGE, highlighting its accessibility, low cost, and quick transactions. Grayscale's initiative underscores DOGE's role in promoting financial accessibility, as noted by Rayhaneh Sharif-Askary. While regulatory approval for secondary market trading is pending, the outlook for crypto ETFs remains positive following recent approvals. The DOGE Trust could potentially convert into an ETF in the future, aligning with the SEC's evolving view on cryptocurrencies. Notably, Bitwise Investment Advisers has proposed a Dogecoin ETF. 📈 #Grayscale#Dogecoin#Crypto#ETF#Finance#Investment#SEC#Regulation#AssetManagement#Bitwise#Inclusion#FinancialAccessibility#Meme#Blockchain#Trends#Markets#Innovation#DigitalAssets#SpotETFs#InvestmentTrusts