Curated summary
Hack Week 2025: How these engineers liquid-cooled a GPU server
Ai InfrastructureGpu ComputingLiquid CoolingThermal ManagementData Center DesignHardware EngineeringEnergy Efficiency
Dropbox engineers used Hack Week 2025 to build a liquid-cooling system for GPU servers, anticipating the rising heat and power demands of AI workloads. Their prototype, assembled from radiators, fans, a pump, reservoir, tubing, manifolds, and sensors, reduced temperatures by 20–30°C during stress tests compared with air cooling. The project also enabled quieter operation and may help Dropbox use less data-center space and energy as GPU requirements increase.
Building a Custom Liquid-Cooling System
- The team built the system from scratch after failing to source a complete commercial setup in time.
- It replicated key data-center cooling components:
- Radiators and fans for heat dissipation
- A pump and reservoir to circulate coolant
- Tubing and manifolds
- Sensors to verify flow and monitor performance
- Engineers tested the cooling loop before connecting expensive GPUs, then integrated it with a GPU server.
Thermal and Noise Improvements
- Liquid cooling lowered CPU and GPU temperatures by approximately 20–30°C during demanding torture tests.
- Because the liquid loop handled the primary heat-generating components, the team could:
- Remove some fans
- Run others at lower speeds
- Reduce noise and potentially power consumption
- Remaining airflow was directed toward lower-heat components such as DIMMs and network cards.
- The team considered using an airflow baffle to cool those components more precisely.
Preparing for AI-Era Infrastructure
- High-end GPUs increasingly consume more power and generate more heat, potentially making air cooling insufficient.
- Liquid cooling could allow Dropbox to:
- Fit more powerful servers into existing data-center footprints
- Avoid spreading servers across additional space
- Reduce cooling energy and operating costs
- Although vendors do not yet universally require liquid cooling for top-tier GPUs, the engineers expect that requirement to become more common.
- Dropbox’s growing focus on AI workloads provided additional motivation to investigate the technology early.
Hack Week as an Experimentation Platform
- The project received funding and organizational support from Dropbox’s infrastructure teams.
- Hack Week gave engineers time to explore a long-term infrastructure problem outside their normal work.
- The team’s Learn Fast award recognized the project’s emphasis on experimentation and rapid learning.
- Working in person helped the engineers exchange ideas, troubleshoot quickly, and collaborate with colleagues across the company.
Dropbox plans to expand testing with additional liquid-cooling labs in multiple data centers. The prototype is an early step toward infrastructure capable of supporting increasingly powerful, GPU-intensive AI systems.
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