About
Aurelien is a Member of Technical Staff at Lyceum, bringing deep expertise in compiler design for heterogeneous systems and dataflow modeling.
Before joining Lyceum, Aurelien was a Senior Research Engineer at Huawei, where he worked on advanced compiler solutions. He holds a PhD in Electrical and Electronics Engineering from EPFL, where he also served as a Teaching Assistant for courses including Computer Architecture and C++ Programming. He previously worked as a Technical Student at CERN.
His research background spans compiler optimization, systems architecture, and high-performance computing—skills that directly translate to building efficient GPU orchestration infrastructure.
Published Articles
Sovereign AI Infrastructure
- • AWS Credits Expired? High-Performance GPU Alternatives for AI Startups
- • High-Performance Alternatives to AWS SageMaker for AI Teams
- • Sovereign AI: Navigating EU Data Residency in 2026
- • GDPR Compliant GPU Cloud Europe: Sovereign AI Infrastructure
- • Beyond the Big Three: Optimizing ML Training on Alternative Clouds
- • Migrating from AWS to Dedicated GPUs: A Performance and Cost Guide
- • Sovereign Cloud ML Training in Germany: The Technical Blueprint
- • AWS Credits Expired: A Strategic Guide for AI Infrastructure
- • EU Data Residency AI News: The Rise of Sovereign GPU Infrastructure
- • The Rise of the Europe GPU Cloud Startup: Sovereignty and Scale
- • Choosing a German GPU Cloud Provider for Sovereign AI
- • ML Training Without AWS: A Guide to Sovereign GPU Infrastructure
- • Top RunPod Alternatives in Europe for Sovereign AI Development
- • Best Startup GPU Credits Alternatives for Scaling AI Infrastructure
Other
Want to join the team?
We're always looking for exceptional engineers and builders who care about infrastructure.