Empowering the AI Revolution: Advanced Liquid Cooling Solutions for NVIDIA Super Chips

1. Background & The Challenge (The Pain Point) In recent years, artificial intelligence (AI) technology has experienced explosive growth, prompting global IT companies to heavily invest in the development of AI Servers and AI PCs. With this AI technology revolution comes a significant physical challenge: managing extreme thermal output. As AI GPUs push computational boundaries, the massive amount of heat generated in highly concentrated areas can easily cause thermal throttling or system failure. Traditional air-cooling methods struggle to handle the dense heat flux of next-generation processors, creating an urgent need for innovative thermal management to prevent bottlenecks in high-speed computing.

2. The Solution & Products Used To address this critical industry pain point, Winshare actively invested robust resources to continuously learn and develop advanced cooling solutions for AI servers alongside their customers. Moving beyond traditional methods, Winshare provided comprehensive Liquid Cooling Kits specifically engineered for AI GPU Servers and High-Speed Computers (HPC).

For NVIDIA's cutting-edge hardware, Winshare developed and deployed highly customized Cold Plate Assemblies tailored for their flagship silicon, including:

• Cold Plate Assembly for the Nvidia H100 Super Chip.

• Cold Plate Assembly for the Nvidia GB200 Super Chip.

• Cold Plate Assembly for the Nvidia B300 Super Chip.

• Cold Plate Assembly for the Nvidia Rubin / V200 Super Chip GPU.

These advanced liquid cooling IT/AI Server solutions are constructed using precision components, utilizing Micro-channel cold plates, CPU/GPU cold plates, UQD / UQOB Manifolds, and durable Stainless Steel Tubes.

3. The Results & Impact The transition to Winshare's liquid cooling architecture successfully resolved the thermal constraints of high-density AI infrastructure. Winshare's engineering breakthrough achieved a phenomenal cooling efficiency of over 800W for a single GPU Die (within a highly compact square footprint of around 25x34mm). By effectively neutralizing this massive heat load, Winshare's solution ensures that NVIDIA's Super Chips can sustain peak computational performance, ultimately driving the AI technology revolution forward with maximum stability and reliability.