Liquid Cooling: Essential Architectures for AI-Driven Data Centers

Unlock the potential of your data center with "Liquid Cooling: Essential Architectures for AI-Driven Data Centers." This course delves into the transformative power of liquid cooling for AI servers, highlighting its benefits in enhancing performance, energy efficiency, and reliability. You'll explore key components like Coolant Distribution Units (CDUs) and various heat rejection methods, gaining the knowledge to select and implement the best liquid cooling architecture for your needs. Many AI servers with accelerators (e.g., GPUs) used for training large language models (LLMs) 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, and outdoor heat rejection. Whether you're a data center operator or an IT manager, this course equips you with the tools to optimize your infrastructure and stay ahead in the rapidly evolving world of AI technology by providing guidance on selecting the best heat rejection architecture for your AI servers or cluster.