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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
Search: #parametric
@arch_shovel · Post #341 · 06/06/2022, 06:48 PM
Parametric Architecture. Works by Mariana Cabugueira ( a Senior Architectural Designer at Zaha Hadid Architects): 1 – the Concert Hall. 2 - Tower C - the Zaha Hadid tower. 3-6 – A Mega Luxury Hotel and Office Hybrid Tower. 7-8 – The Floating Park Island. 9-10 – the Mykonos Villa. #arch_shovel#architecture#parametric#maya#zahahadid
@CryptoM · Post #65177 · 04/11/2026, 04:40 PM
🚀 Morgan Stanley Explores Tokenized Money-Market Fund After Bitcoin ETF Launch Morgan Stanley, managing $9.3 trillion in client assets, is considering launching a tokenized money-market fund following its recent introduction of a spot Bitcoin ETF. According to NS3.AI, Amy Oldenburg from Morgan Stanley highlighted the bank's interest in tax-loss harvesting for digital assets through its subsidiary, Parametric. Data from Farside Investors indicates that the new Bitcoin ETF has attracted approximately $46 million in net inflows since its launch on Wednesday. Additionally, Morgan Stanley submitted applications in January for ETFs linked to Ethereum and Solana. #MorganStanley#TokenizedMoneyMarketFund#BitcoinETF#DigitalAssets#TaxLossHarvesting#EthereumETF#SolanaETF#Parametric#NS3AI#FarsideInvestors#CryptoInvesting#BTC#ETH#SOL