FastDeploy is a high-performance inference deployment framework developed for efficient AI/ML model inference. It optimizes models for CPU, GPU, and edge devices, providing fast and reliable predictions. FastDeploy is designed to support a variety of machine learning tasks, making it suitable for both research and production environments.

Features of FastDeploy:

• Optimized for multiple model formats including ONNX, TensorRT, Paddle, PyTorch, and TensorFlow.
• Supports computer vision tasks such as image classification, object detection, and segmentation.
• Enables NLP tasks like text classification, named entity recognition, and question answering.
• Provides Python and C++ APIs for easy integration into applications.
• Efficient CPU and GPU inference using backend optimizations like TensorRT and OpenVINO.
• Can be deployed on servers, cloud platforms, and edge devices for production-ready solutions.
• Supports model quantization and acceleration to reduce latency and memory usage.
• State-of-the-art performance on benchmarks and real-world applications.

To check the version of FastDeploy Python package:
$ sudo su
$ sudo apt update
$ cd/opt
$ source /opt/fastdeploy-env/bin/activate
$ pip show fastdeploy-python | grep Version

Disclaimer: FastDeploy is an open-source software provided by PaddlePaddle. It is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors are not responsible for any damages, losses, or consequences resulting from the use of this software. Users are encouraged to review and comply with licensing terms and any applicable regulations when using FastDeploy.