Paperspace vs Cortex.dev: What are the differences?
Developers describe Paperspace as "The way to access and manage limitless computing power in the cloud". It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines. On the other hand, Cortex.dev is detailed as "Deploy machine learning models in production". It is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command.
Paperspace and Cortex.dev can be primarily classified as "Machine Learning" tools.
Some of the features offered by Paperspace are:
- Intelligent alert
- Two-factor authentication
- Share drives
On the other hand, Cortex.dev provides the following key features:
- Supports TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, and more
- CPU / GPU support
Cortex.dev is an open source tool with 1.42K GitHub stars and 69 GitHub forks. Here's a link to Cortex.dev's open source repository on GitHub.