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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 #3715 · 12/25/2024, 07:00 PM

Bitcoin Miner Invests in AI Tech HIVE, a Canadian bitcoin miner, invests $30 million in AI computations using Nvidia GPUs. HIVE aims for around $15 million annual revenue from this initiative post-bitcoin halving. Meanwhile, many public mining stocks are expected to end the year in loss due to rising operational costs and reduced mining profitability. Full details here: Forklog. #Bitcoin#AI#Mining#HIVE#Investment#Nvidia#Cryptocurrency#Halving#TechInnovation#PublicMining#CryptoMarket