Nvida GPU 高性能推理部署 支持 2条 pipeline 部署在一台 服务器上吗，非 docker 模式。

[wuyongx]

如题。
from paddlex import create_pipeline
ocr_pipeline = create_pipeline(
pipeline="./OCR.yaml"
)

from paddlex import create_pipeline
seal_pipeline = create_pipeline(
pipeline="./seal_recognition.yaml"
)

环境
python= 3.10
paddlepaddle-gpu==3.0.0
paddleocr==2.10.0
paddlex==3.0.0

单独 一条 pipeline 都是可以的，放在一起报错。

日志

Initializing PaddleX pipeline...
PaddleX pipeline initialized
Initializing PaddleX seal pipeline...
[2025-07-03 06:04:38] [gunicorn.error] [ERROR] Exception in worker process
Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/gunicorn/arbiter.py", line 608, in spawn_worker
worker.init_process()
File "/usr/local/lib/python3.10/site-packages/gunicorn/workers/ggevent.py", line 146, in init_process
super().init_process()
File "/usr/local/lib/python3.10/site-packages/gunicorn/workers/base.py", line 135, in init_process
self.load_wsgi()
File "/usr/local/lib/python3.10/site-packages/gunicorn/workers/base.py", line 147, in load_wsgi
self.wsgi = self.app.wsgi()
File "/usr/local/lib/python3.10/site-packages/gunicorn/app/base.py", line 66, in wsgi
self.callable = self.load()
File "/usr/local/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 57, in load
return self.load_wsgiapp()
File "/usr/local/lib/python3.10/site-packages/gunicorn/app/wsgiapp.py", line 47, in load_wsgiapp
return util.import_app(self.app_uri)
File "/usr/local/lib/python3.10/site-packages/gunicorn/util.py", line 370, in import_app
mod = importlib.import_module(module)
File "/usr/local/lib/python3.10/importlib/init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1050, in _gcd_import
File "", line 1027, in _find_and_load
File "", line 1006, in _find_and_load_unlocked
File "", line 688, in _load_unlocked
File "", line 883, in exec_module
File "", line 241, in _call_with_frames_removed
File "/opt/app/wsgi.py", line 1, in
from paddle_proxy.web import app
File "/opt/app/paddle_proxy/web.py", line 10, in
from paddle_proxy.services import ocr_from_base64 as ocr_from_base64
File "/opt/app/paddle_proxy/services.py", line 40, in
init_seal_pipeline()
File "/opt/app/paddle_proxy/seal_rec_service.py", line 19, in init_seal_pipeline
pipeline = create_pipeline(pipeline=PIPELINE_CONFIG_PATH, device='gpu')
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/init.py", line 165, in create_pipeline
pipeline = BasePipeline.get(pipeline_name)(
File "/usr/local/lib/python3.10/site-packages/paddlex/utils/deps.py", line 195, in _wrapper
return old_init_func(self, *args, **kwargs)
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/_parallel.py", line 103, in init
self._pipeline = self._create_internal_pipeline(config, self.device)
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/_parallel.py", line 158, in _create_internal_pipeline
return self._pipeline_cls(
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/seal_recognition/pipeline.py", line 95, in init
self.layout_det_model = self.create_model(
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/pipelines/base.py", line 99, in create_model
model = create_predictor(
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/models/init.py", line 77, in create_predictor
return BasePredictor.get(model_name)(
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/models/object_detection/predictor.py", line 112, in init
self.pre_ops, self.infer, self.post_op = self._build()
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/models/object_detection/predictor.py", line 143, in _build
infer = self.create_static_infer()
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/models/base/predictor/base_predictor.py", line 242, in create_static_infer
return HPInfer(
File "/usr/local/lib/python3.10/site-packages/paddlex/utils/deps.py", line 148, in _wrapper
return old_init_func(self, *args, **kwargs)
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/models/common/static_infer.py", line 574, in init
backend, backend_config = self._determine_backend_and_config()
File "/usr/local/lib/python3.10/site-packages/paddlex/inference/models/common/static_infer.py", line 629, in _determine_backend_and_config
raise RuntimeError(
RuntimeError: No inference backend and configuration could be suggested. Reason: 'tensorrt' is not a supported inference backend.

[Bobholamovic]

两条pipeline部署在一台服务器上是支持的。这个错误看起来可能和产线配置有关，请提供具体的产线配置。