0.问题说明
想要让RAGFLOW利用GPU资源跑起来，可以选择docker-compose-gpu.yml启动。（但是官网启动案例是×86平台的不是NVIDIA GPU的，docker-compose-gpu.yml又是第三方维护，所以稍有问题）
1.问题
docker利用docker-compose-gpu.yml启动RAGFLOW，文档解析出错
报错：
18:10:23 [ERROR][Exception]: NCCL Error 2: unhandled system error (run with NCCL_DEBUG=INFO for details)
2.解决方案
（1）修改docker-compose-gpu.yml文件（稍作改动）
下面是修改后的完整docker-compose-gpu.yml文件，可以直接复制。
# The RAGFlow team do not actively maintain docker-compose-gpu.yml, so use them at your own risk.
# However, you are welcome to file a pull request to improve it.
include:- ./docker-compose-base.ymlservices:ragflow:depends_on:mysql:condition: service_healthyimage: ${RAGFLOW_IMAGE}container_name: ragflow-serverports:- ${SVR_HTTP_PORT}:9380- 80:80- 443:443volumes:- ./ragflow-logs:/ragflow/logs- ./nginx/ragflow.conf:/etc/nginx/conf.d/ragflow.conf- ./nginx/proxy.conf:/etc/nginx/proxy.conf- ./nginx/nginx.conf:/etc/nginx/nginx.confenv_file: .envipc: hostshm_size: 8genvironment:- TZ=${TIMEZONE}- HF_ENDPOINT=${HF_ENDPOINT}- MACOS=${MACOS}- NCCL_DEBUG=INFOnetworks:- ragflowrestart: on-failure# https://docs.docker.com/engine/daemon/prometheus/#create-a-prometheus-configuration# If you're using Docker Desktop, the --add-host flag is optional. This flag makes sure that the host's internal IP gets exposed to the Prometheus container.extra_hosts:- "host.docker.internal:host-gateway"deploy:resources:reservations:devices:- driver: nvidiacount: allcapabilities: [gpu]
参数解释：
ipc: host：允许容器共享主机的IPC命名空间，解决NCCL多卡通信问题
shm_size: 8g：增大共享内存容量（默认64MB不足）
（2）通过docker-compose-gpu.yml重新启动RAGFLOW
docker compose -f docker-compose-gpu.yml up -d
（3）运行ragflow-server服务器
docker logs -f ragflow-server
（4）检查是否成功进行文档解析
成功解析如下结果：
到此，问题解决！
