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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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@venturevillagewall · Post #4132 · 02/12/2025, 01:00 PM

Investments Surge in Tech Startups Recent funding rounds highlight growing investments in innovative technology firms: - Nirmata: $9.60M for security and compliance solutions. - Gaudi Clinical: $8.92M, advancing medical technology. - Watney Robotics: $8M, focusing on autonomous infrastructure. - ACT-ion Battery Technologies: $7.50M for revolutionary battery materials. - Fragmetric: $7M, enhancing staking protocols. - Lithium Africa: $6M, exploring cost-effective mining options. - TOKYO GameFi: $6.95M, redefining Web3 experiences. - Lens: $5.53M, improving management solutions. - ReCarber: $5.50M, developing carbon removal projects. Additionally, Sam Altman emphasizes the rapid advancement of AI capabilities, suggesting a tenfold increase in power annually, leading to significant impacts on employment and wealth distribution. Read more #Funding#Tech#Startups#AI#Crypto#Robotics#BatteryTech#Web3#CarbonRemoval#Healthcare#Lithium#Kubernetes#SaaS#Tokenomics#Innovation#AGI#VC