Ensuring Data Center Uptime in the Age of AI Using RAM Digital Twins

The rapid growth of AI workloads and large-scale data storage is placing unprecedented demands on data center infrastructure. Ensuring high levels of reliability, availability, and maintainability (RAM) is therefore more critical than ever - but validating availability in complex, interconnected systems is far from straightforward.

Modern data centers consist of multiple redundant subsystems, dependencies between power and cooling architectures, maintenance strategies, and operational constraints that make traditional spreadsheet-based approaches insufficient for accurate availability prediction.

In this webinar, we explore how simulation-driven RAM analysis enables engineers to better understand system behaviour, quantify availability risks, and make informed design and operational decisions earlier in the lifecycle.

Using ReliaSoft’s BlockSim and Asset Performance Framework, you will learn how to:

• Model complex data center architectures using reliability block diagrams
• Evaluate the impact of redundancy strategies on system availability
• Identify critical components driving downtime risk
• Forecast availability under different maintenance scenarios
• Support evidence-based decisions to improve uptime and resilience
• Deploy this RAM model to continuously provide insights with newly collected field data

Join us to discover how simulation can transform availability validation from a theoretical estimate into a measurable, optimisable engineering process!

Event Details:

📅 Date: 16 June 2026 

🕘 Start time: 4:00 PM CEST

 📍  Place: Online, Webinar