Whitepaper

Generate Business Value with AI Using the Production-First Approach to MLOps

Amazon Web Services (AWS)

Develop and Deploy AI Quickly and Efficiently with the Iguazio - AWS MLOps Solution

Iguazio and AWS partner to provide data scientists with the benefits of deploying AI quickly and efficiently using SageMaker and Iguazio’s MLOps platform, on AWS cloud or in a hybrid environment using AWS Outposts.

Now, you can finally enjoy all the benefits of working with AWS, the leading cloud provider, with an accelerated and automated way to deploy AI in hybrid environments, by utilizing the tight integration between AWS SageMaker, AWS Outposts and the Iguazio MLOps platform. ML teams can leverage Iguazio’s approach to  MLOps on AWS infrastructure.

Benefit from automation, scale and real-time performance;  Deploy your AI application in weeks with a lean team.

SageMaker is a fully managed AWS service that provides data scientist a development environment that enables training models at scale and out-of-the-box integration with AWS services.

AWS Outposts is a fully managed service that allows you to run your workload on-premise, while enjoying the benefits of the same AWS infrastructure, services, API and tools available in the cloud.

The Iguazio MLOps Platform enables you to develop, deploy and manage AI applications at scale and in real-time.

Two ways for data scientists to benefit from the tight integration of the Iguazio AWS MLOps solution:

  1. Develop models on SageMaker and deploy them quickly and at scale on the Iguazio MLOps platform on AWS cloud
  2. Develop models the Iguazio MLOps platform and deploy them on AWS Outposts for a fully hybrid experience

Benefits:

  • End-to-end pipeline automation, allowing data scientists to describe the workflow and deploy at scale with a single command.
  • A real-time multi-model data layer, offering latency close to in-memory databases at the cost of SSD storage.
  • Seamless hybrid deployment – On AWS Cloud and Outposts
  • Work in one production-ready environment, with integrated services to develop and deploy data science at scale and in real-time, eliminating the need to configure or ‘glue’ services together.

Seamlessly integrates with:

  • Amazon SageMaker
  • Amazon Elastic Kubernetes Service
  • Amazon S3
  • Amazon Kinesis
  • AWS Outposts

Explore More of the AWS – Iguazio Partnership

For inquiries on the joint AWS-Iguazio solution please contact us: