Close

Presentation

Toward an Open Chiplet Ecosystem: Arm® Foundation Chiplet System Architecture
DescriptionThe rapid growth of AI workloads is fundamentally reshaping system-on-chip (SoC) design. Monolithic scaling is increasingly constrained by reticle limits, rising costs, power density, and yield challenges, while AI systems demand heterogeneous compute, high-bandwidth memory, and system-level co-design across silicon, packaging, and software. Chiplet-based architectures offer a compelling path forward, enabling modularity, reuse, and faster innovation. However, the lack of common system-level standards risks fragmenting the ecosystem and limiting multi-vendor interoperability.

This presentation introduces the Foundation Chiplet System Architecture (FCSA), an open, ISA-neutral, and architecture-agnostic framework designed to enable interoperable chiplet-based systems at scale. Building on the lessons and adoption of the Arm Chiplet System Architecture (CSA), FCSA defines a common foundation for chiplet systems independent of CPU instruction set, enabling reuse across diverse architectures and markets. Developed under the Open Compute Project (OCP), FCSA establishes a shared vocabulary of chiplet types—including compute, accelerator, I/O, memory, and system expansion—and specifies their expected behaviors, interfaces, and trust boundaries.

FCSA adopts a layered model spanning system partitioning, functional interfaces, protocol mappings, and physical integration, leveraging industry standards such as UCIe, AMBA CHI-C2C, PCIe, and CXL to ensure multi-vendor interoperability. By decoupling architecture-specific requirements from common system foundations, FCSA enables both ISA-specific optimization and broad ecosystem compatibility.

The Foundation Chiplet System Architecture represents a critical step toward an open chiplet marketplace, reducing integration friction, accelerating custom silicon development, and enabling scalable, heterogeneous systems for AI infrastructure, cloud, automotive, and edge computing.