Overview
Synopsys UCIe PHY IP enables high-bandwidth, low-power and
low-latency die-to-die connectivity in a package for hyperscale data centers, AI, and networking applications. The PHY’s flexible architecture supports standard and advanced package technologies and delivers up to 4Tbps bandwidth
in a multi-module configuration. Supporting widely used protocols such as PCI Express and CXL and enabling latency-optimized NoC-to-NoC links with streaming protocols, the IP offers maximum performance, minimum latency and implementation flexibility. Synopsys UCIe PHY IP delivers high energy- efficiency with an optimized architecture that uses clock forwarding and
low-voltage signaling. The IP implements a comprehensive set of testability features to ensure known good dies and offers test and repair capabilities to improve package assembly yield. Robust die-to-die link operation is ensured with embedded training and calibration algorithms.
Synopsys UCIe PHY IP interoperates with Synopsys UCIe Controller IP to deliver a complete, low-latency solution for die-to-die links in any package.
Learn more about UCIe IP core
Discover Synopsys 64G UCIe IP for energy-efficient, high-bandwidth die-to-die connectivity in advanced multi-die AI and HPC designs.
For AI workloads to be processed reliably at a fast rate, the die-to-die interface in multi-die designs must be robust, low latency, and most importantly high bandwidth. This article outlines the need for 40G UCIe IP in AI data center chips leveraging multi-die designs.
This article explores how integrating multi-die designs with PCIe & Ethernet, in conjunction with UCIe IP, maximizes bandwidth and performance, facilitating the scaling up and out of modern AI data center infrastructures.
For AI workloads to be processed reliably at a fast rate, the die-to-die interface in multi-die designs must be robust, low latency, and most importantly high bandwidth. This article outlines the need for 40G UCIe IP in AI data center chips leveraging multi-die designs.
Manuel Mota, Synopsys
Manuel Mota, Michael Posner (Synopsys)