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Chapter 7

Case Study: LightOn

See how Devoteam migrated LightOn to the AWS Cloud an enabled them to be a pioneer in Gen AI

Challenge
In order to support its growth and accelerate the production of ML models and their availability, LightOn chose to migrate to the AWS Cloud, and in particular to rely on Amazon Sagemaker. The teams from devoteam supported LightOn in this project, with the objectives of:
– Creating an AWS Landing Zone using Terraform, and in compliance with AWS best practices.
– Migrating and optimising resources from another cloud hyperscaler to AWS. Automating the process of creating Machine – Learning models, and making them available on the AWS Marketplace.

Solution
Devoteam and LightOn streamlined and accelerated LightOn’s processes by utilising Amazon SageMaker to automate ML model production and their availability on the AWS marketplace, and the provision of infrastructure on demand while ensuring scalability, stability, and cost effectiveness of powerful GPUs.

Results
The work provided on this project was of high quality, with great expertise on both the management of the migration and the deployment of the solutions to the AWS Marketplace. LightOn now have infrastructure deployed with Terraform, and ready to use, to support their Gen AI platform.