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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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VPS简测

@vps_test · Post #205 · 06/20/2023, 02:13 PM

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JJNEWS Hetzner将要全面弃用Intel的机器 Hetzner is going to remove dedicated Intel vCPU plans! Servers with dedicated Intel® vCPUs are deprecated Starting on 18 July 2023, all server plans with Intel® vCPUs (CCX11, CCX21, CCX31, CCX41, CCX51) will no longer be available for order. Existing servers are not affected by this deprecation and they 配备专用英特尔®vCPU的服务器已弃用从2023年7月18日开始，所有配备英特尔®vCPU的服务器计划(CCX11、CCX21、CCX31、CCX41、CCX51)将不再可供订购。现有服务器不受此弃用的影响，它们将继续工作。如果您想要将配备英特尔®vCPU的现有服务器迁移到服务器计划 #jjnews#hetzner

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Host Testing and evaluation

@HostEvaluate · Post #784 · 06/03/2022, 07:06 PM

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#FI#Hetzner HostProvider: Hetzner Location: Helsinki, Finland Specification: 2vCore (AMD EPYC) | 2GB RAM | 40GB SSD | 20T @ 1Gbps | € 4.75 / Month Looking glass: hel.icmp.hetzner.com https://paste.red/p/d7d8ed1c86ee Hetzner 赫尔辛基公有云 VPS, 性能不错。

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