BMTrain vs Horovod

Side-by-side — pricing, strengths, tradeoffs, and fit.

BMTrain

Efficient Training for Big Models.

Horovod

Distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet.

At a glance

Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
◌ Declining·From $0

Overview

One-liner

Efficient Training for Big Models.

One-liner

Distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet.

Maturity

Established

Maturity

Declining

Open source

✓ Yes

Open source

✓ Yes

Pricing

Free tier

✓ Available

Open source — free to use

Free tier

✓ Available

Open source — free to use

Starts at

$0

Starts at

$0

Model

Flat rate

Model

Flat rate

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Researchers who need to train very large models efficiently
Teams working on deep learning projects with limited hardware resources

✓ Best for

Teams that need to scale up their deep learning training across multiple GPUs or machines without significant code changes.
Developers working with TensorFlow, Keras, PyTorch, and Apache MXNet who want to leverage distributed computing for faster model training.

Not ideal for

✕ Not for

Projects requiring real-time model training and inference
Small-scale machine learning tasks that do not require high performance optimization

✕ Not for

Projects requiring real-time inference as Horovod is focused on training rather than deployment
Small-scale projects where the overhead of setting up a distributed environment outweighs the benefits

Strengths

↑ Strengths

Efficient training for large models
High performance optimization
Scalability for big data

↑ Strengths

Support for multiple deep learning frameworks
Easy integration with existing training code
Scalability across multiple GPUs and machines
Compatibility with popular distributed computing systems like MPI

Weaknesses

↓ Weaknesses

Limited integrations with other ML frameworks and tools
Small community and limited third-party contributions

↓ Weaknesses

Limited support for non-GPU environments
Complex setup and configuration
Full BMTrain profile →Full Horovod profile →