是否有现成的镜像或者构建的方法指导去使用comfyui+minimaxh3进行使用
是否有现成的镜像或者构建的方法指导去使用comfyui+minimaxh3进行使用
按照官网文档,我安装了最新驱动metax-driver-3.9.0.14-deb-x86_64.run,但是maca的版本是unknow ,不管安装哪个版本都是unknow,是否是还需要安装除了驱动以外的,我看官方文档安装驱动也相当于安装了固件什么的
root@i-yTUxSCxNM:~# mx-smi
mx-smi version: 2.3.4
=================== MetaX System Management Interface Log ===================
Timestamp : Mon Sep 21 05:58:13 2026
Attached GPUs : 8
+---------------------------------------------------------------------------------+
| MX-SMI 2.3.4 Kernel Mode Driver Version: 3.9.35 |
| MACA Version: unknown BIOS Version: 1.22.3.0 |
|------------------+-----------------+---------------------+----------------------|
| Board Name | GPU Persist-M | Bus-id | GPU-Util sGPU-M |
| Pwr:Usage/Cap | Temp Perf | Memory-Usage | GPU-State |
|==================+=================+=====================+======================|
| 0 MetaX C550 | 0 N/A | 0000:23:00.0 | 0% Disabled |
| 84W / 450W | 36C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 1 MetaX C550 | 1 N/A | 0000:26:00.0 | 0% Disabled |
| 84W / 450W | 35C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 2 MetaX C550 | 2 N/A | 0000:63:00.0 | 0% Disabled |
| 81W / 450W | 35C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 3 MetaX C550 | 3 N/A | 0000:66:00.0 | 0% Disabled |
| 79W / 450W | 37C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 4 MetaX C550 | 4 N/A | 0000:a3:00.0 | 0% Disabled |
| 85W / 450W | 38C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 5 MetaX C550 | 5 N/A | 0000:a4:00.0 | 0% Disabled |
| 92W / 450W | 36C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 6 MetaX C550 | 6 N/A | 0000:e3:00.0 | 0% Disabled |
| 86W / 450W | 35C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
| 7 MetaX C550 | 7 N/A | 0000:e4:00.0 | 0% Disabled |
| 89W / 450W | 38C N/A | 860/65536 MiB | Available |
+------------------+-----------------+---------------------+----------------------+
服务器信息:h3c
gpu:mx c550
cpu:海光
rdma网卡:8 * mlx
问题描述:
无论如何增加HCA高性能网卡,多机allreduce等最后带宽只打满了一张网卡,也就是全部都走了一个网卡,MCCL_CROSS_NIC也分别修改过0 1 没有效果
MCCL_IB_HCA=mlx5_0,mlx5_1,.....
rdma网络正常,,网卡间通信正常,所有机器的网卡1属于子网a,网卡2属于子网b,一一对应,调整了很多参数还是无法做到让allreduce测试走多个网卡
沐曦是否有具身智能相关的软件栈和资料,目前在社区没查到相关的资料,我们希望基于沐曦卡进行相关机器人的解决方案构建
沐曦提供的sglang版本是否支持编译下载SGLang-diffusion,如果不支持后续是否有计划开放支持sglang-diffusion的版本
感谢
服务器:
h3c服务器
芯片:
c550
操作系统:
PRETTY_NAME="Ubuntu 22.04.5 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.5 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
HOME_URL="www.ubuntu.com/"
SUPPORT_URL="help.ubuntu.com/"
BUG_REPORT_URL="bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=jammy
启动的模型:qwen3-vl-235b
镜像启动:docker run \
--network=host \
--device /dev/dri:/dev/dri \
--device /dev/mxcd:/dev/mxcd \
--group-add video \
--runtime=runc \
--detach=true \
--shm-size 100gb \
--ulimit memlock=-1 \
-it \
cr.metax-tech.com/public-ai-release/maca/vllm-metax:0.12.0-maca.ai3.3.0.204-torch2.8-py312-ubuntu22.04-amd64
模型启动命令:vllm serve qwen3-vl-235b-a22 --tensor-parallel-size 8 --max-model-len 1024 --enable-chunked-prefill --max-num-batched-tokens 2048 --trust-remote-code --gpu-memory-utilization 0.80 --mm-processor-cache-gb 0
看样子是卡在多卡通信如何解决
在使用/workspace/Pai-Megatron-Patch/toolkits/model_checkpoints_convertor/qwen/进行模型转换时报错
转换的模型为qwen3-8b ,但是目前看导入包的时候就报错了
使用的镜像megatron-lm:maca.ai3.0.0.5-torch2.4-py310-ubuntu22.04-amd64
hf2mcore_qwen2_dense_and_moe_gqa.py
File "/workspace/Pai-Megatron-Patch/toolkits/model_checkpoints_convertor/qwen/hf2mcore_qwen2_dense_and_moe_gqa.py", line 12, in <module>
from transformers.modeling_utils import WEIGHTS_INDEX_NAME, WEIGHTS_NAME, shard_checkpoint, load_sharded_checkpoint
ImportError: cannot import name 'shard_checkpoint' from 'transformers.modeling_utils' (/opt/conda/lib/python3.10/site-packages/transformers/modeling_utils.py)
E0916 16:49:29.393000 140209256093504 torch/distributed/elastic/multiprocessing/api.py:833] failed (exitcode: 1) local_rank: 0 (pid: 407) of binary: /opt/conda/bin/python3.10