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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 #4346 · 03/09/2025, 01:00 PM

Ethereum's Downfall According to Sonic Labs Co-founder André Krone, co-founder of Sonic Labs, shares his thoughts on Ethereum's struggles against rival ecosystems: - Fragmented liquidity and separate L2 networks. - ETH farming via centralized sequencers causing excess coin supply. - USDe stablecoin creates ongoing selling pressure. - Competitors excel in user experience and speed. - Attempts to maintain neutrality hinder top applications. - Ethereum scaling roadmap lacks action, waiting for L2 solutions. - Ecosystem support mainly comes from podcasters, not engineers. Krone notes that developers prefer platforms like Solana, Avalanche, and Base rather than Ethereum. Read more here. #Ethereum#Solana#Avalanche#Crypto#VC#L2#Stablecoin#USDe#MarketMaking#DeFi#Layer2#Blockchain#TechNews#UserExperience#Innovation#DigitalAssets#CryptoTrends#SonicLabs