AWS의 기능과 생성형 설계를 활용하는 Autodesk의 미래 구상

Autodesk creates design software that requires significant compute capacity for rendering. The company relies on Amazon EC2 Spot Instances for significant cost savings on its RaaS function.

As the number of AWS accounts in use at Autodesk grew, it became increasingly clear that the account-creation process was a bottleneck. They began envisioning a solution that could automatically set up new AWS accounts and update existing ones. He decided to call the new solution Tailor, a nod to the idea that it would deliver accounts that were “tailor made” for Autodesk teams, including all required company configurations and controls.

Autodesk uses machine learning (ML) models built on Amazon SageMaker, a fully managed ML service from Amazon Web Services (AWS), to help product designers organize and sort through thousands of iterations produced by generative design processes and choose the optimal design.

Autodesk’s IT organization collaborated with AWS to transform from a data center/cloud hybrid model to a cloud-first model. This infographic shows how the mass migration and modernization effort enabled Autodesk to drive efficiencies, reskill its people, and be more innovative in the services and tools it delivers to the company.