About
Caspar is the Head of Product at Lyceum, where he drives product strategy and ensures the platform meets the needs of AI teams across Europe.
Before joining Lyceum, Caspar gained extensive experience in product development and technology, with a focus on building user-centric solutions for complex technical challenges.
At Lyceum, Caspar oversees the end-to-end product experience — from GPU provisioning workflows to developer documentation — ensuring that AI infrastructure remains accessible to teams of all sizes.
Published Articles
GPU Cost Optimization
- • A100 vs H100 for LLM Inference: The Engineer’s Guide to Efficiency
- • GPU Selection Guide for ML Training: 2026 Performance Benchmarks
- • H100 vs A100 Cost Efficiency: A Technical Deep Dive
- • How Many GPUs for Model Training? A Practical Scaling Guide
- • Optimize Slurm GPU Allocation for High Performance AI Workloads
- • How to Right Size GPU Instances for ML Workloads
- • Best GPU for Llama 3 Fine-Tuning: A Technical Engineering Guide
- • Dedicated GPU vs Cloud Instance: The Engineer's Guide to AI Infrastructure
- • Solving the 40 Percent GPU Cluster Utilization Problem
- • GPU for 7B vs 70B Model: A Technical Infrastructure Guide
- • GPU Memory Requirements for Transformer Models: A Technical Guide
- • H100 80GB vs A100 80GB: Fine-Tuning Performance and TCC Analysis
- • Which GPU for Fine-Tuning 70B Models? A Technical Guide
Want to join the team?
We're always looking for exceptional engineers and builders who care about infrastructure.