Passive cooling solutions for AI servers

This article examines passive cooling technologies, liquid cooling solutions, and smart thermal management strategies for high-density AI workstations. Familiarity with GPU architecture and basic thermal principles is recommended. Effective cooling is essential to maintain performance, prevent hardware degradation, and ensure reliable operation in noise-sensitive environments. Our systems use evaporation and condensation to transfer heat directly from the chip — no fans, no pumps, no noise. Passive Cooling: Up to 2 kW per CPU/GPU in. This article introduces our company's efforts regarding passive component products for AI accelerator systems using this immersion cooling method., GPUs) used for training LLMs (large language models) and inference workloads, generate enough heat to necessitate liquid cooling. These servers are equipped with input and output piping and require an ecosystem of manifolds, CDUs (cooling distribution) and. As data centers evolve rapidly, companies like Expert Thermal are pioneering innovative cooling strategies that keep pace with the increasing demand for processing-intensive applications such as artificial intelligence (AI) and advanced analytics.