This analysis focuses on how next-generation chiplet architectures, high-bandwidth memory (HBM), and advanced packaging technologies such as 2.5D/3D integration and fan-out wafer-level packaging are enabling the next wave of AI and high-performance computing (HPC) system architectures, rather than providing a broad packaging industry overview. It analyzes how chiplet-based partitioning, open die-to-die interconnect standards, and tightly coupled HBM integration unlock higher bandwidth, improved yield, reduced design complexity, and scalable, modular platforms that overcome the physical and economic limits of traditional monolithic AI/HPC processors and accelerators. The analysis specifically examines architecture and roadmap implications for AI accelerators, GPUs (graphics processing units), data centers and cloud infrastructure, networking and edge systems that are adopting these technologies, and evaluates commercialization megatrends and ecosystem roles across foundries, IDMs (integrated device manufacturers), fabless vendors, OSAT (outsourced semiconductor assembly and test), and EDA (electronic design automation) providers as they build chiplet-centric AI/HPC platforms. It further assesses the key opportunities and constraints shaping these AI/HPC architectures—including interoperability of chiplets and standards, packaging capacity, thermal and power management at AI-class power densities, test and reliability complexity, cost efficiency, supply-chain dependencies, and geopolitical factors that influence where and how advanced AI/HPC silicon can be manufactured and deployed, while highlighting future technology roadmaps and ecosystem-driven innovation trends.

• How are 2.5D/3D integration and fan-out wafer-level packaging enabling the next wave of AI and high-performance computing system architectures?
• What growth gaps should your organization address to adopt chiplet-based partitioning to overcome the physical and economic limits of traditional monolithic AI/HPC processors?
• What are the key growth opportunities shaping the AI/high-performance computing architectures?