Substrate AI
Deploy your ML code in the cloud in under 5 minutes
Hosted Platform โข Running Locally
Simplify your ML training on cloud GPUs with Substrate AI. Our platform allows you to set up and run your models quickly, bypassing the usual setup hassles.
๐ Getting Started
Installation
Install the package:
pip install substrate-ai
Configure your folder to use substrate
substrate-ai init
Run your code on the cloud
substrate-ai run
๐ฌ Demo
View Demo
Initialize your folder to be able to run with Substrate
substrate-ai init
Create a file with some Python code
print("Welcome to substrate!")
modify your substrate.yaml
if necessary
project_name: Example Project
hardware:
type: cpu
main_file_location: ./main.py
Then run your code
substrate-ai run
The result
substrateai.mp4
โจ Features
- Fully open-source
- Self-host our platform
- Quick deployment of ML code in the cloud
- No vendor lock-in
- AWS-powered GPUs without extra cost
More features on the horizon
๐ก Examples
Explore example projects in our example folder
๐ Documentation
Access our documentation
๐บ๏ธ Roadmap
- v0 launched
- Filesystem integration
- Remote image building
- Cloud job analytics
- Inference support
- Spot training
- Decreased compute cost (as we do not profit from computing, our focus is minimizing expenses)
๐ฅ Running Locally
Stay tuned for detailed instructions
๐ Interested?
Please leave us a star and/or sign up for the hosted version