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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 #65040 · 04/10/2026, 03:26 PM

🚀 Quantum Threats Are Real but Not Immediate, Experts Say Quantum computing poses a genuine threat to current cryptographic systems, but it is not an immediate concern. According to PANews, understanding which cryptographic components will be affected and how the industry plans to transition is crucial. Experts emphasize the importance of identifying vulnerable areas and preparing for a gradual migration to quantum-resistant technologies. The focus should be on strategic planning and readiness to ensure security in the face of future quantum advancements. #QuantumComputing#Cryptography#CyberSecurity#QuantumThreats#QuantumResistant#TechPlanning#FutureTechnology