91³Ô¹ÏÍø

Hyperscale cloud data centers continue to evolve due to tremendous Internet traffic growth from online collaboration, smartphones and other IoT devices, video streaming, augmented and virtual reality (AR/VR) applications, and connected AI devices. This is driving the need for new architectures for compute, storage, and networking such as AI accelerators, Software Defined Networks (SDNs), communications network processors, and solid state drives (SSDs) to improve cloud data center efficiency and performance. Re-architecting the cloud data center for these latest applications is driving the next generation of semiconductor SoCs to support new high-speed protocols to optimize data processing, networking, and storage in the cloud. Designers building system-on-chips (SoCs) for data center and high-performance computing (HPC) applications need a combination of high-performance and low-latency IP solutions to help deliver total system throughput.



Synopsys provides a comprehensive portfolio of high-quality, silicon-proven IP that enables designers to develop SoCs for high-end data center and high-performance computing, including AI accelerators, edge computing, visual computing, compute/application servers, networking, and storage applications. Synopsys¡¯ Foundation IP, Interface IP, Security IP, and Processor IP are optimized for high performance, low latency, and low power, while supporting the most advanced process technologies.

IBM Research

 

- Mukesh Khare
Vice President, Hybrid Cloud

¡°Developing new AI chip architectures will enable companies to dynamically run large AI workloads in the hybrid cloud. Synopsys' unmatched breadth of experience and technical offering is an extremely valuable asset in this effort."