Calculating the total cost of a GPU cluster Nebius × SemiAnalysis

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 total cost of ownership (TCO) of GPU clusters, including infrastructure, networking, power efficiency, utilization, scalability, and operational overhead.

Whether you’re building your first AI cluster or scaling to thousands of GPUs, this video provides practical insights to help engineering and business teams make smarter infrastructure decisions.

What You’ll Learn

How to calculate the total cost of a GPU cluster
Key infrastructure components that impact ROI
Hidden operational and networking costs
GPU utilization strategies that improve efficiency
Cost tradeoffs between cloud and dedicated AI infrastructure
How leading AI companies optimize cluster economics

Total cost of a GPU cluster Nebius × SemiAnalysis

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