Nnabla

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nnabla is a deep learning framework for research, development, and production, designed to run on various platforms from desktop PCs to embedded devices. It provides a flexible Python API and C++11 core for efficient neural network development.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is nnabla?

nnabla is a deep learning framework developed by Sony, designed for research, development, and production across diverse platforms including desktop PCs, HPC clusters, embedded devices, and production servers. It features a flexible Python API built on a C++11 core, enabling both static and dynamic computation graphs. The framework supports GPU acceleration via CUDA extensions and offers command-line utilities for tasks like training, evaluation, and file format conversion (e.g., ONNX, TensorFlow, TFLite). While currently in a maintenance phase with no active development, nnabla remains a robust tool for developers and researchers needing a portable and extensible deep learning solution.

Best used for

Ideal for developers and data scientists who need to build and deploy deep learning models on diverse hardware, from embedded devices to HPC clusters. Especially valuable for those requiring a flexible API, GPU acceleration, and command-line utilities for model management and conversion.

Common actions

build neural networks

train deep learning models

deploy AI models

convert model formats

accelerate GPU computation

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Capabilities

Key features

Flexible Python API
C++11 core
Dynamic computation graphs
GPU acceleration
Command line utility
Multi-platform deployment
Extensible architecture

Target Audience

developerdata scientistresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Is nnabla still actively developed?

No, nnabla is currently in a maintenance phase and is not actively being developed. While it remains a functional deep learning framework, users should be aware that new features or significant updates are not being released.

What platforms can nnabla run on?

nnabla is designed for broad compatibility, running on desktop PCs, HPC clusters, embedded devices, and production servers. Its C++11 core and Python API allow for flexible deployment across various operating systems like Linux and Windows.

Does nnabla support GPU acceleration?

Yes, nnabla supports GPU acceleration through its CUDA extension library. This allows users to significantly speed up computations on CUDA-capable GPUs, enhancing performance for training and inference of deep learning models.

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