PaddlePaddle
paddlepaddle.org.cn
Spec sheet
- Purpose
- PaddlePaddle describes itself as an efficient, flexible, extensible deep learning framework intended to make deep learning innovation and application easier.Read 3 Oct 2026 · paddlepaddle.org.cn
- Product
- PaddlePaddle is an efficient, flexible, and extensible deep learning framework.Read 4 Oct 2026 · paddlepaddle.org.cn
- Intended users
- The documentation recommends pip installation for users who only need to use PaddlePaddle and source compilation for developers who need to develop the framework.Read 3 Oct 2026 · paddlepaddle.org.cn
- Integrations
- Paddle Inference documents integrations with TensorRT, cuDNN, oneDNN, and Paddle Lite.Read 3 Oct 2026 · paddlepaddle.org.cn
- Maker
- The project’s official GitHub repository identifies PaddlePaddle as its core framework; Baidu’s investor FAQ lists its headquarters as Beijing and says it was incorporated in 2000.Read 3 Oct 2026 · github.com
- APIs
- The API reference describes tensor operations such as matrix multiplication, concatenation, addition, and argmax.Read 4 Oct 2026 · paddlepaddle.org.cn
- CPU and GPU packages
- The guide provides separate pip installation commands for CPU and GPU packages.Read 4 Oct 2026 · paddlepaddle.org.cn
- Distributed training
- The guides include distributed training with PaddlePaddle.Read 4 Oct 2026 · paddlepaddle.org.cn
- Ecosystem
- The official site lists PaddleHub, PARL, ERNIE, AI Studio, EasyDL, and EasyEdge among its tools and platforms.Read 4 Oct 2026 · paddlepaddle.org.cn
- GPU support
- The package appendix lists NVIDIA GPU architectures through Blackwell and CUDA package options through CUDA 13.0.Read 4 Oct 2026 · paddlepaddle.org.cn
- Graph modes
- The guides explain transforming dynamic graphs to static graphs.Read 4 Oct 2026 · paddlepaddle.org.cn
- Hardware limits
- The installation guide specifies 64-bit x86_64 processors and says PaddlePaddle currently does not support arm64.Read 4 Oct 2026 · paddlepaddle.org.cn
- Hardware requirements
- The Linux source build guide specifies 64-bit Linux and Python 3.9 through 3.13, and recommends NVIDIA GPU support when the listed CUDA and hardware conditions are met.Read 3 Oct 2026 · paddlepaddle.org.cn
- Inference and deployment
- The guides describe using trained models for inference and deployment.Read 4 Oct 2026 · paddlepaddle.org.cn
- Installation
- The installation guide offers pip, Docker, and source compilation methods.Read 4 Oct 2026 · paddlepaddle.org.cn
- Limits
- The Windows source build guide says distributed training and NCCL are not supported on Windows and its GPU build supports only one GPU.Read 3 Oct 2026 · paddlepaddle.org.cn
- Mixed precision
- Its automatic mixed precision API can select FP16 or FP32 for different operators during training.Read 3 Oct 2026 · paddlepaddle.org.cn
- Model conversion
- The guides include converting models to PaddlePaddle.Read 4 Oct 2026 · paddlepaddle.org.cn
- Model development
- Its guides cover model development and additional uses for model development.Read 4 Oct 2026 · paddlepaddle.org.cn
- Operating systems
- The current installation guide lists Windows 10/11, Ubuntu 20.04/22.04/24.04, AlmaLinux 8, and macOS 12.x through 15.x.Read 4 Oct 2026 · paddlepaddle.org.cn
- Python support
- The installation guide lists Python 3.9 through 3.13 and pip 20.2.2 or later.Read 4 Oct 2026 · paddlepaddle.org.cn
- Self hosting
- The framework can be compiled from source on Linux, and its documentation recommends Docker as a simpler compilation environment.Read 3 Oct 2026 · paddlepaddle.org.cn
- Support resources
- The official guides link to GitHub and release notes for framework details and version features.Read 4 Oct 2026 · paddlepaddle.org.cn
- Training and inference
- Its APIs cover tensor operations, neural networks, optimizers, model training, and inference.Read 3 Oct 2026 · paddlepaddle.org.cn
Where Specifiction places it
- Deep Learning Software#24 of 357.4