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Framework of AI Data Center Ecosystem Functions PPT


This PPT slide, part of the 30-slide Artificial Intelligence Data Center Ecosystem PowerPoint presentation, outlines the AI Data Center Ecosystem, presenting it as an Infrastructure Value Chain consisting of eight critical functions. Each function is categorized into distinct areas: Semi Production, Processor, Server Components, Server, Network, Internal Power/Cooling, Power Supply, and Owners/Operators.

In the Semi Production category, key processes such as IC Design, OSAT, and Foundry are highlighted, indicating the foundational elements necessary for chip manufacturing. The Processor section specifies the types of processors involved, namely GPUs and CPUs, which are essential for AI workloads.

The Server Components area covers vital hardware elements like power supplies and thermal solutions, which are crucial for maintaining server efficiency and performance. The Server section identifies server brands and original design manufacturers (ODM/EMS), emphasizing the importance of reliable server infrastructure.

Networking is addressed with components like InfiniBand and Ethernet, which facilitate data transfer and connectivity within the data center. Internal Power/Cooling focuses on methods such as liquid cooling and power electronics, underscoring the need for effective thermal management and power supply systems.

Power Supply details various energy sources, including renewable options and grid connections, which are increasingly relevant in today's sustainability-focused environment. Finally, the Owners/Operators category lists key stakeholders like hyperscalers, colocation providers, and private equity firms, illustrating the diverse interests in the AI data center ecosystem.

This structured approach not only clarifies the interdependencies within the ecosystem, but also highlights the strategic importance of each function in driving AI innovation. Understanding these components can aid potential customers in making informed decisions regarding their data center investments.




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