Home icon

How BMW Group accelerated connected vehicle workloads on AWS Graviton

Architecture Blog



This article describes how BMW Group successfully migrated its Connected Vehicle platform to AWS Graviton processors, achieving significant cost and performance gains while maintaining service continuity across 24.5 million connected vehicles.

  • Adopted Karpenter for dynamic, policy-driven node provisioning to support multi-architecture workloads
  • Implemented dual-architecture CI/CD pipelines using native Graviton runners and Docker Buildx with QEMU for flexible builds
  • Created dedicated Graviton node pools with taints and tolerations for controlled, opt-in workload migration
  • Validated migration on platform services first before enabling team adoption to minimize risk
  • Achieved $600,000 annual infrastructure savings and 40% price-performance improvement
  • Reduced CPU consumption by 57% on NGINX ingress controller while maintaining performance
  • Over 65% of production platform now runs on Graviton, supporting sustainability goals

The migration succeeded through incremental, deliberate choices that reduced risk while keeping adoption optional for individual teams, establishing Graviton as the default compute path.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Oct 24
2025
How BMW Group Enhances Cloud Optimization With Generative AI on AWS
Mar 20
2024
How BMW Group uses automation to achieve end-to-end compliance at scale on AWS
Oct 29
2026
How BMW builds toward Industry AI on Amazon SageMaker AI
Nov 7
2024
How BMW Group and Qualcomm built an automated driving platform on AWS

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.