Apache SINGA
Open source machine learning library for distributed training.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Apache SINGA?
Apache SINGA is an open-source machine learning library designed to support the development of scalable deep learning models. It focuses on providing a flexible and efficient framework for researchers and developers to train large-scale neural networks across multiple machines.
Key differentiator
“Apache SINGA stands out for its focus on distributed training and flexibility in supporting various neural network architectures, making it ideal for large-scale machine learning projects.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development in C++ with limited official SDKs for other languages
Network latency and synchronization issues can degrade performance in large-scale deployments
Fit analysis
Who is it for?
✓ Best for
Teams needing to train large-scale deep learning models across multiple machines
Projects that require flexibility in model architecture and hardware support
Developers working with C++ or Python who need a scalable ML framework
✕ Not a fit for
Applications requiring real-time inference as SINGA focuses on training
Small projects where the overhead of setting up a distributed system is not justified
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Apache SINGA
Step-by-step setup guide with code examples and common gotchas.