Cloud Foundry vs Google AI Platform: What are the differences?
Developers describe Cloud Foundry as "Deploy and scale applications in seconds on your choice of private or public cloud". Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications. On the other hand, Google AI Platform is detailed as "Create your AI applications once, then run them easily on both GCP and on-premises". Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
Cloud Foundry belongs to "Platform as a Service" category of the tech stack, while Google AI Platform can be primarily classified under "Machine Learning as a Service".
Some of the features offered by Cloud Foundry are:
- Application and services centric lifecycle API
- High performance dynamic routing
- Buildpack support
On the other hand, Google AI Platform provides the following key features:
- “No lock-in” flexibility
- Supports Kubeflow
- Supports TensorFlow
Cloud Foundry is an open source tool with 605 GitHub stars and 532 GitHub forks. Here's a link to Cloud Foundry's open source repository on GitHub.