The AI moat isn't GPUs, it's the advanced packaging they require (www.fenty.dev)

In a shift from conventional narratives centered on GPUs like NVIDIA's, industry experts are emphasizing the pivotal role of advanced packaging technologies in AI hardware development. State-of-the-art AI accelerators, such as the H100, consist not just of the GPU itself but complex systems-in-package that include multiple components like High-Bandwidth Memory (HBM) integrated on a single silicon base. The effectiveness of these interactions—facilitated by technologies like Chip-on-Wafer-on-Substrate (CoWoS) developed by TSMC—determines overall performance and data transfer rates, making packaging a critical battleground in AI innovation. As demand skyrockets, the ability to produce these advanced packages poses a significant challenge due to the extreme capital investment required, specialized manufacturing processes, and the high level of precision involved. The current landscape reveals that a few dominant players control this high-end packaging capability, consolidating their influence over AI's future growth. This spotlight on packaging signifies a crucial turning point for the AI/ML community, highlighting that understanding and navigating the complexities of this supply chain is essential for anticipating advancements and opportunities in AI technology.