AI workloads are placing increasingly greater demands on power, cooling, and critical infrastructure. As systems become more interconnected, even minor failures can have significant operational and financial consequences. Data center infrastructure is becoming more complex - higher compute density, increasing power requirements, and more complex cooling systems are making downtime more difficult to predict and more costly when it occurs.
To maintain availability, operators need more than isolated monitoring tools or component-level data. They need a system-level understanding of infrastructure performance, dependencies, and risk. HBK helps data center teams quantify uptime risk, evaluate infrastructure resilience, and make evidence-based decisions that improve the availability and reliability of power, cooling and other critical digital infrastructure.
Quantify Uptime Risk
Model infrastructure dependencies, evaluate redundancy strategies and identify the factors that have the greatest impact on system availability.
Validate Critical Infrastructure
Use engineering-grade testing and measurement to verify the performance of power, cooling, and supporting infrastructure.
Understand System-Level Risk
Understand how infrastructure dependencies affect availability and identify the issues that have the greatest impact on uptime.
Prioritise Uptime-Critical Actions
Use reliability and operational insights to focus maintenance and investment decisions where they will have the greatest impact on uptime.
AI workloads are increasing the complexity of data center infrastructure, creating new dependencies across power, cooling, networking, and control systems. Traditional approaches based on spreadsheet estimates, fragmented tools or component-level alarms are no longer enough to understand availability risk.
Using ReliaSoft BlockSim and RAM (Reliability, Availability and Maintainability) Digital Twins, HBK helps organisations model infrastructure dependencies, evaluate redundancy strategies and quantify outage risk to support more confident uptime decisions. A RAM Digital Twin helps teams understand which investments will deliver the greatest improvement in availability and resilience. During the operational phase, the digital twin model is used to monitor the performance of critical systems and effectiveness of downtime mitigation strategies.
Keeping data centers available requires more than monitoring individual components. Data Center Uptime Intelligence brings reliability, operational and system-level insight together to help teams better understand risk, identify vulnerabilities and make more informed decisions to protect uptime across complex infrastructure.
Advanced insights to achieve greater levels of uptime at the lowest practical cost.
RBD - Reliability Block Diagram
FTA - Fault Tree Analysis
URD - Universal Reliability Definition
RCM - Reliability Centered Maintenance
FMEA - Failure Mode and Effects Analysis
RAM - Reliability, Availability, Maintainability
Whether you're evaluating infrastructure designs, improving operational visibility, or reducing downtime risk, HBK can help you make more confident uptime decisions across the data center lifecycle.
HBK provides a suite of tools for comprehensive data center monitoring, including the Genesis HighSpeed DAQ system for real-time electrical power analysis, QuantumX and digiBOX platforms for high-speed temperature measurements, and a combination of accelerometers, Fusion-LN, and BK Connect® software for structural and mechanical performance testing.
This will bring together HBM, Brüel & Kjær, nCode, ReliaSoft, MicroStrain and Discom brands, helping you innovate faster for a cleaner, healthier, and more productive world.
