V100 running Qwen3.8 27B Qianwen nvfp4 with speed over 50 tokens, about half the speed of Pro 6000d. In the current environment of soaring graphics card prices, it is probably the most cost-effective AI operation graphics card.

Qwen3.8-27b (Q5_K_XL/Q4_K_M) vs v4flash vs v4Pro

First Experience Trying Qwen3.8 27B NVFP4

Running the qwen-3.8-27B-IQ4 model on a 16GB VRAM graphics card, with MTP and vision enabled, reaching a speed of 50 tokens per second

qwen3.8-27b single cylinder engine test

RTX 5090 Running Qwen3.5-27B-NVFP4 vLLM Deployment Guide

Modded 2080Ti dual-card + vLLM running Qwen 27B: 2000 yuan rivaling 4090, saving half the cost compared to domestic APIs

The Cheapest 48GB VRAM Computing Card - RTX8000

Qwen3.8-27B Unsealed Version Open Source! 27B Parameters Comparable to Top Closed-Source Models, Supports 1 Million Tokens, Runs on Local 8GB VRAM

v100-32g can only run at around 25 speed, qwen3.8-27b

[Most Comprehensive Test] Deploying Qwen3.8 27B nvfp4 on V100 with vLLM + dFlash2: Decode speed improved by 3x, Prefill speed improved by 15x

All need to switch to NVFP4/8.

MiniMax-H3 Super Acceleration Collection Version for 2080TI tested on V100 graphics card

[On-Premises Deployment deepseek v4 flash q8 large language model actual test] 10 cards v100 pcie cost-effective far exceeds 8 cards v100 nvlink, long context, single-concurrency speed 22

【Creator Tested】Instant output in 15s! What is the maximum resolution of Tesla V100 x MiniMax H3?

16G GPU runs Qwen3.8 27B smoothly! 80K+ context without losing intelligence: Qwen3.8 27B community modded version hits the charts!

A100 for only 2200 yuan, unboxing and testing

V100 32GB PCIe using llama.cpp locally inferencing Qwen3.8-27B on Windows, averaging nearly 50 tps — sharing the optimal settings and some tips

Ornith-1.5 Major Release, Comparable to Qwen3.8 27B

4000 yuan for a 64G VRAM AI cluster! Four V100s + liquid cooling, this price-performance ratio is insane