About
Justus leads Go-to-Market initiatives at Lyceum, helping AI teams discover and adopt GPU infrastructure that accelerates their work.
With a background in technology and business development, Justus focuses on understanding customer needs and translating them into product and market strategies.
At Lyceum, Justus works closely with AI teams across Europe to ensure they can access the compute resources they need, when they need them — without the complexity traditionally associated with GPU infrastructure.
Published Articles
GPU Cost Optimization
- • Strategies to Reduce GPU Cloud Costs for ML Training
- • The Cost Per Training Run Calculator: A Guide for ML Engineers
- • Stopping the Bleed: The $15B Crisis of GPU Overprovisioning
- • GPU ROI: Beyond the Hourly Rate in ML Infrastructure
- • Navigating the AWS GPU Price Increase in 2026
- • Colocation vs Cloud GPU for ML: An Engineering Guide
- • CoreWeave vs Lambda GPU Cloud: The ML Engineer’s Guide to GPU Clusters
- • Lambda Labs vs RunPod vs Vast.ai: Choosing Your GPU Cloud
Other
- • AWS P5 H100 Pricing Per Hour 2026: A Technical Cost Analysis
- • Egress Fees GPU Cloud Comparison: The Hidden Cost of AI
- • The Engineer's Guide to GPU Clouds with No Egress Fees
- • Nvidia H100 Availability Europe: A Guide for AI Engineering Teams
- • Spot Instance GPU ML Training: A Technical Guide for AI Teams
Want to join the team?
We're always looking for exceptional engineers and builders who care about infrastructure.