Google AI Platform vs Inferrd

Google AI Platform vs Inferrd: What are the differences?

Developers describe Google AI Platform 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. On the other hand, Inferrd is detailed as "*Deploy ML Models with a Simple Drag and Drop *". It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

Google AI Platform and Inferrd belong to "Machine Learning as a Service" category of the tech stack.

Some of the features offered by Google AI Platform are:

• “No lock-in” flexibility
• Supports Kubeflow
• Supports TensorFlow

On the other hand, Inferrd provides the following key features:

• Machine Learning practioners don't need to wait for engineering to deploy their models anymore
• No need to invest in expensive infrastructure and tooling. Inferrd starts at $14, batteries included
• Built with security in mind. Your models are protected using state-of-the-art encryption at rest.