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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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CryptoBull_360™

@cryptobull_360 · Post #49774 · 05/13/2026, 02:05 PM

🕵️‍♂️#HYPE Wallet associated with a16z in the last month has gained 1.588 million HYPE worth ~$67.4 million and staked 1.3 million HYPE.

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CryptoBull_360™

@cryptobull_360 · Post #48848 · 03/19/2026, 07:51 PM

📈👀#HYPE Analysts at JPMorgan note the growing popularity of Hyperliquid amid traders' desire for round-the-clock oil trading.

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CryptoBull_360™

@cryptobull_360 · Post #48430 · 02/18/2026, 01:33 PM

🗽👀#HYPE Hyperliquid created the “Hyperliquid Policy Center” with the goal of developing a legal mechanism for widespread adoption of DeFi in the United States.

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CryptoBull_360™

@cryptobull_360 · Post #48232 · 02/11/2026, 12:17 PM

✏️#HYPE Hyperliquid Strategies reports profit, acquired 5 million HYPE for $129.5 million at a price of $25.9 per token, leaving the company with $125 million.

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