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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 #64856 · 04/10/2026, 04:43 AM

🚀 Global PC Shipments Expected to Rise by 3.2% in Q1 2026, Omdia Reports According to Jin10, Omdia's latest research indicates that the total shipments of desktops, laptops, and workstations are projected to increase by 3.2% year-on-year in the first quarter of 2026, reaching 64.8 million units. Among these, laptop shipments, including mobile workstations, are expected to see a slight year-on-year growth of 2.6%, reaching 50.8 million units. Desktop shipments, including desktop workstations, are anticipated to perform slightly better, with a year-on-year growth of 5.4%, reaching 14 million units. The growth is primarily driven by manufacturers and channel partners pulling in orders ahead of the widely expected rise in component costs. Additionally, the ongoing Windows 10 replacement cycle continues to drive corporate budget updates, and the concentrated product releases by Windows OEMs and Apple during the spring season are also contributing factors. #PCShipments#TechIndustry#LaptopGrowth#DesktopGrowth#OmdiaReport#Q12026#GlobalMarket#ITHardware#WindowsUpgrade#AppleRelease