Ninfer Setup Guide: Qwen 3.8 27B on Windows Is 3.5× Faster Than LM Studio

Published 20/09/2026

Description

Can Ninfer make Qwen 3.8 27B dramatically faster on a local RTX GPU? In this hands-on Windows guide, I install and configure Ninfer for Qwen 3.8, download the required NVFP4 model, fix the Ninfer v2 versus v3 model-format issue, and compare MTP-5 with DFlash2. Contents: 0:00 - Introduction 0:18 - Description 1:31 - Download 3:53 - Install 4:41 - Tweaking Config 6:18 - Download Model 9:10 - First Run 13:12 - Claude Code 16:28 - dflash2 17:25 - Conclusion I test Ninfer on an RTX 5090 against LM Studio using the same Qwen 3.8 27B prompt and Claude Code workflow. The results show a major local coding-performance difference: approximately 35 seconds with Ninfer versus 158 seconds with LM Studio for the direct prompt test, plus a much faster Claude Code run on the same hardware and model. You will learn how to: Install Ninfer on Windows 11 from the portable release Configure the model path, host IP, port, and KV cache Download the compatible Qwen 3.8 27B NVFP4 model Identify and resolve the NVFP4 v2/v3 compatibility problem Run Ninfer with MTP-5 or DFlash2 Connect Claude Code to a local Ninfer endpoint Compare Ninfer performance with LM Studio on an RTX 5090 This video is for local-LLM users working with RTX 3090, RTX 4090, or RTX 5090 GPUs who want high-throughput Qwen inference, long context windows, and a faster local coding-agent workflow. #ClaudeCode #Git #PowerShell Follow me on X: https://l.samayas.eu/jo3eaYEf3E?P=YT&V=166 Buy me a Coffee : https://l.samayas.eu/jX6xL7EWhd?P=YT&V=166 Studio Equipment Camera Sony Alpha ZV-E10 II: https://l.samayas.eu/k7y95TREl0?P=YT&V=166 Secondary Camera Obsbot Tail Air: https://l.samayas.eu/iFQu9WfmCw?P=YT&V=166 Elgato Prompter: https://l.samayas.eu/fHVrqqXtSc?P=YT&V=166 Microphone Rode Wireless GO II: https://l.samayas.eu/afBINjiBXN?P=YT&V=166