Load Banks
AI data centers present unique testing and commissioning challenges due to their high-density workloads, complex power requirements, and advanced cooling needs. The fluctuating power draw of AI hardware such as GPUs, CPUs, LPUs, and ASICs creates dynamic load conditions that must be accurately simulated during commissioning. Cooling systems, including air, cold plate liquid cooling, and immersion cooling, require precise calibration to handle extreme heat loads. Integrating and testing these diverse systems simultaneously poses a challenge, as each component must function seamlessly under real-world AI workloads. Additionally, ensuring redundancy, fault tolerance, and energy efficiency while managing high power usage and thermal loads adds complexity. Thorough testing is critical to validate the performance, reliability, and scalability of AI data centers, ensuring they meet operational demands without compromising efficiency or uptime.
At InfraXtructure™, we offer specialized load banks those are essential for testing and commissioning of AI workloads in data centers. Our technology ensures true simulation of CPU, GPU, LPU or ASICs based servers from any leading manufacturers. Our specialized AI load banks are designed to simulate the high-density, dynamic workloads of AI hardware. Key features include:
- Three-Phase Power Compatibility: Ability to accept and simulate balanced/unbalanced three-phase power loads, supporting high-capacity AI workloads with fluctuating power draw.
- High-Density Load Handling: Support for high power densities up to 140 kW per rack, reflecting the real power consumption patterns of AI servers.
- Advanced Cooling Integration: Compatibility with multiple cooling technologies:
- Liquid Cooling Support: Integration with direct-to-chip cold plates and liquid cooling distribution units (CDUs).
- Air Cooling Support: Ability to dissipate heat through perimeter, in-row, overhead, or rear-door air cooling systems, simulating AI server heat output.
- Immersion Cooling Support: Designed to simulate thermal load of immersion cooling vats without contaminating expensive dielectric fluids.
- Dynamic Load Simulation: Programmable load profiles to replicate real-time AI workloads, including rapid fluctuations, pulsed power draws, and high transient currents.
- Power Quality Testing: Ability to generate and measure Total Harmonic Distortion (THD), voltage sags, and surges, ensuring the stability and resilience of the data center’s power infrastructure.
- Thermal Output Control: Adjustable heat generation and precise temperature control to mimic cold plate temperature for GPU-intensive workloads, enabling comprehensive testing of both liquid and air cooling systems.
- Scalable and Modular Design: Modular load bank systems that can be scaled according to the data center’s capacity, allowing for phased testing and commissioning starting from few kW to multiple MW.
- Remote Monitoring and Control: Integration with Building Management Systems (BMS) and Data Center Infrastructure Management (DCIM) for real-time load control, monitoring, and data logging.
- Fault Simulation and Stress Testing: Capability to simulate power failures, load shedding, and redundancy testing, ensuring all electrical and mechanical systems respond correctly under AI workload conditions.
- Energy Efficiency Metrics: Real-time measurement of Power Usage Effectiveness (PUE), cooling efficiency, and thermal performance during load tests.
More details about our commissioning services are available here.
