Active Silicon Bridge Chiplets for Scalable XPU-Memory Integration

The system is divided into discrete bridge chiplet modules, each containing specific functionality (processor die, memory die, or interconnect logic). These segmented chiplets can be manufactured separately using standard CMOS processes and then assembled into larger systems, reducing the complexity of monolithic integration while maintaining manufacturing precision.

Bridge chiplets serve as intermediary components that mediate between processor dies and memory dies. These chiplets contain standardized interconnect interfaces that simplify the coupling between different functional blocks, reducing overall system complexity while enabling flexible configuration and lowering manufacturing costs through modular assembly.

Instead of integrating all functions onto a single large chip that pushes lithography limits, the system segments functionality across multiple chiplets. Each chiplet can be manufactured at optimal density using current lithography processes without exceeding process capabilities, thereby maintaining manufacturing precision while achieving high overall compute power through parallel composition of multiple chiplets.

The patent transitions from two-dimensional planar integration to three-dimensional stacking architectures. Multiple chiplets are stacked vertically and interconnected through vertical vias and through-silicon vias (TSVs), enabling high-density integration without requiring excessive lateral lithography precision. This dimensional transition allows compute power to scale by adding layers rather than shrinking feature sizes.

The bridge chiplet architecture employs universal standardized interfaces and common interconnect protocols that can be used across different application domains. While individual chiplets can be customized for specific AI tasks (e.g., neural network inference, training, or specific workload optimization), they all communicate through standardized interfaces, reducing configuration complexity and enabling reusable design IP across multiple product lines.

The system incorporates dynamic configuration capabilities where chiplet interconnections and resource allocation can be reconfigured at runtime based on workload requirements. This dynamic adaptability allows the same hardware platform to be optimized for different AI tasks without requiring complex static customization, balancing adaptability with manageable device complexity through software-controlled reconfiguration.