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Source channel @githubtrending · Post #15263 · Nov 2

#python#deep_learning#inference#llm#nlp#pytorch#transformer Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware. https://github.com/GeeeekExplorer/nano-vllm

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Inspiring Thoughts

@Inspiringthoughts · Post #10892 · 07/21/2025, 12:08 AM

At the tender age of seven, Pranjali Awasthi embarked on her coding journey under the guidance of her engineer father. This early exposure ignited a passion for technology that would shape her future. By thirteen, Pranjali was interning at Florida International University, delving into machine learning projects. These experiences highlighted the challenges researchers face in data extraction, inspiring her to seek innovative solutions. In January 2022, at just sixteen, she founded Delv.AI, an AI-powered platform designed to streamline data extraction for researchers. The startup quickly gained traction, securing approximately $450,000 in funding from notable investors. Within a year, Delv.AI achieved a valuation of around ₹100 crore (approximately $12 million), a testament to Pranjali’s vision and determination. Pranjali’s journey exemplifies the power of early passion, innovative thinking, and unwavering dedication. Her story serves as an inspiration to aspiring entrepreneurs worldwide. #YoungEntrepreneur#AIInnovation#WomenInTech#TechProdigy#StartupSuccess#Marketinggrowmatics