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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 #65443 · 04/13/2026, 09:04 AM

🚀 Investor Shifts Focus from Oil to U.S. Stock Market On April 13, Hyperinsight reported that the largest holder of short positions in crude oil on Hyperliquid, identified as address 0xa65, closed their loss-making positions last week and briefly attempted to go long in an effort to capitalize on a market bottom. According to BlockBeats On-chain Detection, the investor subsequently closed these positions and exited the oil market entirely. The investor has now shifted their focus to the U.S. stock market, specifically the storage sector. They have retained two long positions opened earlier this month in Micron Technology (MU) and SanDisk (SNDK), with a total holding size of $5.4 million. The current floating profit from these positions has reached $1.15 million. #Investor#OilMarket#USStockMarket#MicronTechnology#SanDisk#Investing#StockMarket#Finance#MarketShift#Hyperliquid#BlockBeats