TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

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

Results

1 similar post found

Search: #communitylayer

当前筛选 #communitylayer清除筛选
UXLINK

@uxlink_community · Post #470 · 05/10/2025, 05:27 AM

最近の日本Web3界隈で目立つのが、UXLINKの存在感。🇯🇵🔍 CNPとの提携を皮切りに、日本ローカルの強力なIPとの協業が加速⚡ オンチェーン/オフチェーン両方でのコミュニティ展開に加え、 Web2企業とのクロスパートナー戦略も水面下で進行中🤝 “ユーザー起点のWeb3ソーシャル”という文脈で、 UXLINKは今、日本で一番面白い動きをしているかもしれない。🚀 #UXLINK#Web3JP#CNP#ソーシャルレイヤー#CommunityDriven One of the most quietly significant players gaining traction in Japan’s Web3 scene 🇯🇵👀#UXLINK Following its recent collaboration with CNP—a top domestic IP—UXLINK is making inroads across both native Web3 communities and mainstream Web2 circles 🤝 IRL activations, on-chain social dynamics, and a clear long-term strategy signal a serious Japan play 🎯 If you're tracking the rise of social infrastructure in Asia’s Web3 movement, this is one to watch. 📡 #UXLINK#Web3Japan#CommunityLayer#CNP#Web3Social