Singa

What it is

Apache Singa is a distributed deep learning platform designed to train large-scale machine learning models efficiently across multiple machines. It supports various neural network architectures and offers flexibility in model deployment.

Singa stands out as an open-source, Apache-licensed platform specifically designed for the efficient and scalable distributed training of deep learning models.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited language support primarily focusing on C++ and Python

   Official documentation and community resources are sparse for languages other than C++ and Python

2. 02

   Small community and limited third-party integrations

   Few active contributors and less third-party tooling compared to more popular platforms like TensorFlow or PyTorch

What it does well

• Supports distributed training across multiple machines

• Flexible model deployment options

• Scalable architecture for large-scale ML models

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.