第五十篇-AutoDL+Ollama+V100+Qwen3:32B
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云GPU购买
https://www.autodl.com/
PyTorch 2.5.1
Python 3.12(ubuntu22.04)
CUDA 12.4
GPU V100-32GB(32GB) * 1
安装
curl -fsSL https://ollama.com/install.sh | sh
启动serve
nohup ollama serve > ollama_serve.log 2>&1 &
后台下载
nohup ollama pull qwen3:32b > ollama_qwen.log 2>&1 &
启动测速
ollama run qwen3:32b --verbose
速度
total duration: 27.517998005s
load duration: 154.605377ms
prompt eval count: 45 token(s)
prompt eval duration: 158.295719ms
prompt eval rate: 284.28 tokens/s
eval count: 790 token(s)
eval duration: 26.64950491s
eval rate: 29.64 tokens/s
GPU
Wed Nov 26 20:17:37 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 |
+-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 Tesla V100-PCIE-32GB On | 00000000:65:04.0 Off | Off |
| N/A 50C P0 225W / 250W | 20818MiB / 32768MiB | 94% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
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