#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
🐂🐂🐂🐂🐂🐂
According to analysts, a BTC-ETF called #iShares Bitcoin Trust from #BlackRock has surpassed #GTC from Grayscale in terms of the number of coins at its core. Accordingly, it is now the largest #BTC spot exchange-traded fund in the United States.
Bloomberg analyst Eric Balchunas confirmed the leadership of the #BlackRock iShares Bitcoin Trust (BUT) among spot BTC ETFs. Recall that this exchange-traded fund bypassed Grayscale's GTC based on the trading results for the last day.
As Eric noted, BlackRock is likely to occupy the top spot "for decades." The reason is a combination of low fees, serious liquidity and the excellent reputation of the iShares brand.
🐂🐂🐂🐂🐂🐂
🚀 Bitcoin ETFs See Strong Inflows as Market Interest Grows
US spot Bitcoin ETFs experienced significant net inflows exceeding $786 million last week, marking their most robust performance since February. According to NS3.AI, BlackRock's iShares Bitcoin Trust attracted approximately $612 million. Meanwhile, Morgan Stanley's newly launched MSBT fund garnered around $46 million within its initial three trading days.
#Bitcoin#ETFs#BlackRock#MorganStanley#CryptoInvestment#MarketInterest#MSBT#iShares#Inflow#BTC