Tesla V100 16GB GPU, purchased for 980 yuan, miniMax H3 image-to-video generation 1280*736 resolution
Actual test: Two used V100s achieve 190 tok/s, matching the performance of a ¥40,000+ RTX 5090 in the same scenario | Full record of local deployment for a 176B large model
MinimaxH3, using Tesla V100 GPUs, dual-card parallel generation
v100-32g can only run at around 25 speed, qwen3.8-27b
How slow is running MiniMax H3 on a V100?
God-level project Strata! Two V100s running Qwen3.8 Flash IQ3_S, tested at 60-100 tokens/s
2080ti, Strata local deployment Qwen3.8 Flash Next! Very awesome! Very powerful! Very big pitfall!
v100 32g MINIMAXH3 GGUF, plus dual clock sampling acceleration LORA 6 steps, 12 seconds used 51 minutes, previously 10 seconds oom
V100 Duo! Two V100s running NInfer NVFP4, 27B model breaks 110 tokens/s?
Strata Update Again! IQ3S-QWEN-Flash-Next Quick Case Test Demo
The Best Cost-Effective AI Local Deployment in 2025! Dual V100! 32G VRAM, High Performance at Low Price, Crushing 2080Ti 22G!
The most open version is here! Qwen3.8-Flash-Next Strata Edition AI Large Language Model Local Deployment Tutorial｜MTP Acceleration, Works on 8GB Graphics Card
【刚哥玩生态】双V100 Nvlink模型服务器起飞了
(7) 72GB VRAM, Qwen decode measured at 211.1 tok/s! Why is a 34-layer resident GPU so fast?
From Strata to Project-Maya, Pr counts as a vertical branch that grew out of Strata. Maya only serves Zhipu AI‘s GLM-5.3-Flash
Qwen3.8_flash-IQ3-xxs local infinite token solution: 2 2080ti 22g graphics cards plus 48g memory enables local infinite tokens
Local model Qwen3.8 (choose 27B or flash-next-strata)
A 4x V100 32GB (128GB total VRAM) AI workstation for just ¥1500 – besides Supermicro X10Q, who else can do it?
A classroom host of over 3000 yuan tests Qwen3.7 flash-next 125B large language model - speed surprisingly reaches 40 tokens/s
[User-Made MV] 1.17 Billion tokens, world.execute(me) through the eyes of Qwen 3.8 Flash-Next
