Calculating the total cost of a GPU cluster | Nebius × SemiAnalysis

GPU-hour pricing is the most visible cloud infrastructure metric, but it’s rarely the most meaningful.

At scale, real GPU cluster cost depends on much more: interruptions, recovery time, storage and network performance, support quality, and how reliably workloads run in production.

In this webinar, Nebius and SemiAnalysis will unpack what really drives GPU cluster TCO and how AI teams can evaluate providers beyond headline pricing.

You’ll learn:

• How SemiAnalysis rates GPU cloud providers using ClusterMAX™ — the v2.1 testing criteria and what’s coming in v3.0
• Why monitoring and reliability are first-order cost drivers — how goodput is measured, and what fault tolerance actually costs you when it’s absent
• How Nebius engineers fault-tolerant clusters, and what independent live-cluster testing confirmed
• The full TCO impact across three real workloads, modeled using the SemiAnalysis goodput & cluster TCO calculator

If you’re evaluating infrastructure for AI workloads and need to make a confident, defensible decision, this session will give you the tools to do it.