Amazon SageMaker vs Inferrd

Amazon SageMaker vs Inferrd: What are the differences?

Developers describe Amazon SageMaker as "Accelerated Machine Learning". A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. 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.

Amazon SageMaker and Inferrd can be categorized as "Machine Learning as a Service" tools.

Some of the features offered by Amazon SageMaker are:

• Build: managed notebooks for authoring models, built-in high-performance algorithms, broad framework support
• Train: one-click training, authentic model tuning
• Deploy: one-click deployment, automatic A/B testing, fully-managed hosting with auto-scaling

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.