PaddlePaddle

C
C tier on Deep Learning SoftwareScore 6.6 · #14 of 35
Android app
Not listed
Free plan
No
Runs on
api, Linux, Mac, self-hosted, Windows
paddlepaddle.org.cn
The PaddlePaddle homepage

Summary

PaddlePaddle is ranked #14 of 35 in deep learning software on Everything Xiaomi. It runs on API, Linux, macOS, Self-hosted, Windows.

Compared on deep learning software

Free plan
Yespaddlepaddle.org.cn
Training mode
localpaddlepaddle.org.cn
Deployment targets
multiplepaddlepaddle.org.cn
GPU acceleration
Yespaddlepaddle.org.cn
Distributed training
Yespaddlepaddle.org.cn
Supported languages
Pythonpaddlepaddle.org.cn

Facts

Purpose
PaddlePaddle describes itself as an efficient, flexible, extensible deep learning framework intended to make deep learning innovation and application easier.paddlepaddle.org.cn · 3 Oct 2026
Training and inference
Its APIs cover tensor operations, neural networks, optimizers, model training, and inference.paddlepaddle.org.cn · 3 Oct 2026
Graph modes
The framework supports dynamic graphs and static graphs, including APIs to convert dynamic graphs to static graphs.paddlepaddle.org.cn · 3 Oct 2026
Mixed precision
Its automatic mixed precision API can select FP16 or FP32 for different operators during training.paddlepaddle.org.cn · 3 Oct 2026
Integrations
Paddle Inference documents integrations with TensorRT, cuDNN, oneDNN, and Paddle Lite.paddlepaddle.org.cn · 3 Oct 2026
Installation
The installation guide offers pip installation for Linux, macOS, and Windows, with CPU and GPU versions where supported.paddlepaddle.org.cn · 3 Oct 2026
Self hosting
The framework can be compiled from source on Linux, and its documentation recommends Docker as a simpler compilation environment.paddlepaddle.org.cn · 3 Oct 2026
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.paddlepaddle.org.cn · 3 Oct 2026
Limits
The Windows source build guide says distributed training and NCCL are not supported on Windows and its GPU build supports only one GPU.paddlepaddle.org.cn · 3 Oct 2026
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.paddlepaddle.org.cn · 3 Oct 2026
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.github.com · 3 Oct 2026
Product
PaddlePaddle is an efficient, flexible, and extensible deep learning framework.paddlepaddle.org.cn · 4 Oct 2026
Model development
Its guides cover model development and additional uses for model development.paddlepaddle.org.cn · 4 Oct 2026
Inference and deployment
The guides describe using trained models for inference and deployment.paddlepaddle.org.cn · 4 Oct 2026
Model conversion
The guides include converting models to PaddlePaddle.paddlepaddle.org.cn · 4 Oct 2026
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.paddlepaddle.org.cn · 4 Oct 2026
Hardware limits
The installation guide specifies 64-bit x86_64 processors and says PaddlePaddle currently does not support arm64.paddlepaddle.org.cn · 4 Oct 2026
Python support
The installation guide lists Python 3.9 through 3.13 and pip 20.2.2 or later.paddlepaddle.org.cn · 4 Oct 2026
CPU and GPU packages
The guide provides separate pip installation commands for CPU and GPU packages.paddlepaddle.org.cn · 4 Oct 2026
GPU support
The package appendix lists NVIDIA GPU architectures through Blackwell and CUDA package options through CUDA 13.0.paddlepaddle.org.cn · 4 Oct 2026
APIs
The API reference describes tensor operations such as matrix multiplication, concatenation, addition, and argmax.paddlepaddle.org.cn · 4 Oct 2026
Ecosystem
The official site lists PaddleHub, PARL, ERNIE, AI Studio, EasyDL, and EasyEdge among its tools and platforms.paddlepaddle.org.cn · 4 Oct 2026
Support resources
The official guides link to GitHub and release notes for framework details and version features.paddlepaddle.org.cn · 4 Oct 2026

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