RTX PRO 6000 NVIDIA SLI 功能

godspeed66

zhuifeng88 发表于 2025-8-14 13:18
"vllm                              0.10.1.dev166+g04e38500e.d20250729.cu129 /home/vllm02/vllm"

    raise CalledProcessError(retcode, cmd)
      subprocess.CalledProcessError: Command '['cmake', '/home/vllm06/vllm', '-G', 'Ninja', '-DCMAKE_BUILD_TYPE=RelWithDebInfo', '-DVLLM_TARGET_DEVICE=cuda', '-DVLLM_PYTHON_EXECUTABLE=/root/anaconda3/envs/vllm06/bin/python3.12', '-DVLLM_PYTHON_PATH=/root/anaconda3/envs/vllm06/lib/python312.zip:/root/anaconda3/envs/vllm06/lib/python3.12:/root/anaconda3/envs/vllm06/lib/python3.12/lib-dynload:/root/anaconda3/envs/vllm06/lib/python3.12/site-packages:/home/vllm06/transformers/src:/root/anaconda3/envs/vllm06/lib/python3.12/site-packages/setuptools/_vendor', '-DFETCHCONTENT_BASE_DIR=/home/vllm06/vllm/.deps', '-DNVCC_THREADS=1', '-DCMAKE_JOB_POOL_COMPILE:STRING=compile', '-DCMAKE_JOB_POOLS:STRING=compile=32', '-DCMAKE_CUDA_COMPILER=/usr/local/cuda-13.0/bin/nvcc']' returned non-zero exit status 1.
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building editable for vllm
Failed to build vllm
ERROR: Failed to build installable wheels for some pyproject.toml based projects (vllm)



放弃了。等软件生态完善吧

4090 RTX 6000ADA 都没遇到这类问题

zhuifeng88

godspeed66 发表于 2025-8-14 16:12
raise CalledProcessError(retcode, cmd)
      subprocess.CalledProcessError: Command '['cmake', ...

toolkit不要用cuda13, 用12.8.1

======
实在搞不定建议用docker去处理build算了
```
https://github.com/vllm-project/vllm/blob/main/docker/Dockerfile
```
把里面所有12.0改成12.0a就行了

deepfishing

godspeed66 发表于 2025-8-14 16:12
raise CalledProcessError(retcode, cmd)
      subprocess.CalledProcessError: Command '['cmake', ...

不要用wsl，Linux下直接装驱动然后拉配好的docker跑，性能和吞吐应该会强老大一截了

godspeed66

zhuifeng88 发表于 2025-8-14 16:36
toolkit不要用cuda13, 用12.8.1

======

感谢  我试试

godspeed66

zhuifeng88 发表于 2025-8-14 16:36
toolkit不要用cuda13, 用12.8.1

======

改CUDA有用

FP8 可以了


但FP4报错  vllm serve /home/Qwen3-235B-A22B-Thinking-2507-FP4 --served-model-name Qwen3-235B-A22B-Thinking-2507-FP4 --max-model-len 201000 --tensor-parallel-size 2 --gpu-memory-utilization 0.9

(APIServer pid=15764) INFO 08-14 20:58:03 [api_server.py:1805] vLLM API server version 0.10.1.dev628+g00e3f9da4.d20250814

(APIServer pid=15764)   Value error, Unknown quantization method: . Must be one of ['aqlm', 'awq', 'deepspeedfp', 'tpu_int8', 'fp8', 'ptpc_fp8', 'fbgemm_fp8', 'modelopt', 'modelopt_fp4', 'marlin', 'bitblas', 'gguf', '**q_marlin_24', '**q_marlin', '**q_bitblas', 'awq_marlin', '**q', 'compressed-tensors', 'bitsandbytes', 'qqq', 'hqq', 'experts_int8', 'neuron_quant', 'ipex', 'quark', 'moe_wna16', 'torchao', 'auto-round', 'rtn', 'inc', 'mxfp4']. [type=value_error, input_value=ArgsKwargs((), {'model': ...attention_dtype': None}), input_type=ArgsKwargs]
(APIServer pid=15764)     For further information visit https://errors.pydantic.dev/2.11/v/value_error

zhuifeng88

godspeed66 发表于 2025-8-14 21:04
改CUDA有用

FP8 可以了

sm120的nvfp4目前只做了dense, 没做MoE, moe急着用可以自己从sm100的抄一份改改, 只是跑起来的话修改量估摸着100行左右吧, 就改一下cutlass部分的模板参数就行

还有你用的nvfp4模型格式不对, vllm透明支持的是compressed tensors格式的和比较新版本optimum-nvidia出的, 老的你得自己处理下

godspeed66

zhuifeng88 发表于 2025-8-14 23:19
sm120的nvfp4目前只做了dense, 没做MoE, moe急着用可以自己从sm100的抄一份改改, 只是跑起来的话修改量估 ...

万分感谢

松田

请问这张咭可以玩stable diffusion吗?

Illidan2004

KazamiKazuki 发表于 2025-8-14 01:38
没有接口啊

直接PCIE5.0？