Expert Talk: Calculating the Total Cost of a GPU Cluster
Learn how to accurately calculate GPU cluster total cost of ownership (TCO) and optimize infrastructure costs for large-scale AI workloads.
Training and deploying frontier AI models requires more than just powerful GPUs.It requires understanding the complete economics of compute infrastructure.
In this exclusive session, Nebius and SemiAnalysis break down the real TCO of GPU clusters and share practical frameworks for evaluating infrastructure efficiency, scalability, and return on investment.
Whether you’re building your first AI cluster or managing deployments at scale, you’ll gain actionable insights to make more informed infrastructure decisions.
Watch the session to learn:
- How to calculate the total cost of ownership (TCO) of a GPU cluster
- Which infrastructure components have the greatest impact on ROI
- Hidden networking and operational costs that affect cluster economics
- Strategies for improving GPU utilization and efficiency
- Cost tradeoffs between cloud and dedicated AI infrastructure
- How leading AI organizations optimize compute economics at scale
Request access to the recording to watch the full session.