Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. Covalent overcomes computational and operational challenges inherent in AI/ML experimentation.
Features
- Assign functions to appropriate resources: Use advanced hardware (quantum computers, HPC clusters) for the heavy lifting and commodity hardware for bookkeeping
- Test functions on local servers before shipping them to advanced hardware
- Let Covalent's services analyze functions for data independence and automatically parallelize them
- Run experiments from a Jupyter notebook (or whatever your preferred interactive Python environment is)
- Track workflows and examine results in a browser-based GUI
- Covalent is developed using Python version 3.8 on Linux and macOS
Project Samples
Categories
Data PipelineLicense
Affero GNU Public LicenseFollow Covalent workflow
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