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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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Crypto M - Crypto News

@CryptoM · Post #64994 · 04/10/2026, 01:15 PM

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🚀 SimpleChain Secures $15 Million in Seed Funding for RWA Network SimpleChain has announced the successful completion of a $15 million seed funding round. According to Foresight News, the funding was supported by family offices and institutional investors. SimpleChain aims to develop a Real World Asset (RWA) Layer 1 network, positioning itself as an 'Institutional OS' for RWA. The network will be powered by Granular Data and native CaaS, focusing on providing financial-grade infrastructure for the tokenization of real-world assets globally. #SimpleChain#SeedFunding#RWA#Layer1Network#InstitutionalOS#GranularData#CaaS#Tokenization#RealWorldAssets#FinancialInfrastructure

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