• Application Scenarios

1.  NVIDIA GB200 Rack Thermal Simulation： Validating power and cooling capacity matching.
2. AI Training Clusters/ Supercomputing Centers: Testing large-scale GPU liquid cooling performance.
3. Data Center Commissioning: Verifying rack-level power and thermal redundancy.
4. Research & Testing Labs: Evaluating new-generation liquid cooling and hybrid cooling solutions.

 Key Advantages

• ​Air-liquid mixing integrated design

1.  Air Cooling Module: Built-in high-performance fan array ensures efficient heat dissipation of resistor modules.
2. Liquid Cooling Module: Cold-plate liquid cooling design sanitary quick-connect fittings enables seamless integration into rack-level cooling loops.
3. Hybrid Operation: Automatically banlances air and liquid cooling according to power density, supporting versatile test scenarios.

•  Fully compatible with GB200 thermal simulation 

1.  Fully compatible with GB200 rack power density an liquid cooling interface standards, enabling direct deployment in standard liquid-cooled racks.
2. Built-in flow resistance simulation unit for adjustable pressure drop, replicating real-world server cooling environment.
3. Modular design future-proofed for higher power GPU/CPU generation.

• High-precision safety and control 

1. Real-time monitoring of temperature, flow, voltage, and current.
2. Multi-level protection: short-circuit, over-temperature unloading, ground protection, and emergency stop.
3. Smart control: supports remote monitoring and data acquisition, compatible with DCIM/SCADA plateforms. 

• Flexible and scalable 

1. Fine-grained power steps(as low as 0.5kW), enabling load simulation from a single rack to full rack rows.
2. Modular plug-and-play expansion with 12kW, 24kW, and 48kW configurations.
3. Optional energy recovery modulde for sustainable and eco-friendly testing. 

• Future Expansion 

1. Customizable interface compatibility to match various liquid cooling vendor standards.
2. Upgradable to higher power modules(＞60kW per cabinet) for next-generation AI server thermal simulation.
3. Supports integration with energy recovery systems, enabling waste heat reuse for sustainable data center.