#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
MicroStrategy(@Strategy) bought another 1,895 $BTC($180.34M) at an average price of $95,167 last week.
#Strategy currently holds 555,450 $BTC($52.35B), with an average buying price of $68,550 and an unrealized profit of $14.28B.
#CryptoSignals#FuturesTrading#VIPGroup#BTC#Altcoins#CryptoProfit
🚀 Crypto Trader 'Maji' Increases Long Positions Amid Market Fluctuations
On April 11, 'Maji' continued to strategically increase long positions, according to BlockBeats. The total value of these positions has risen to $42.17 million, up from approximately $34 million the previous evening. These positions are reported to have a high safety margin, with liquidation prices significantly lower than current market values.
As of the latest update, 'Maji' holds detailed positions including a 25x leverage on Ethereum with 12,131.7179 ETH at a liquidation price of $2,090.95, a 40x leverage on Bitcoin with 180 BTC at a liquidation price of $62,529.3, and a 10x leverage on HYPE with 43,750 units.
Additionally, 'Maji' has achieved a total contract profit of $1.85 million over the past week, and has turned a monthly loss into a profit of $190,000.
#CryptoTrading#Maji#LongPositions#MarketFluctuations#Ethereum#Bitcoin#LeverageTrading#CryptoProfit#HYPE#ContractProfit#BTC#ETH
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