AI-powered edge computing is already proving its value in today’s market. With our lives becoming increasingly more connected, the demand for fast and reliable services will also continue to grow exponentially. Be it mobile or AI, applications are pushing toward advanced process nodes.
To keep up with demand, teams will need to continue integrating powerful AI capabilities into their infrastructure to ensure effective processing, enhance memory performance, and provide seamless connectivity. At Synopsys, our silicon-proven DesignWare IP® portfolio tackles these requirements through an array of solutions specifically designed to support specialized processing, power, memory performance, and real-time data connectivity.
Synopsys ARC® EV Processors allow for complete AI processing with scalar and vector capabilities, providing high-performance, flexible processing capabilities for embedded applications.
Our IP solutions also help support efficient architectures for varying memory constraints including DesignWare Multi-Port Memories and our Embedded MRAM Compiler IP. Synopsys’ HBM3 and LPDDR5 IP solutions, for instance, directly addresses the bandwidth bottleneck as it enables designers to achieve their memory requirements with low latency and minimal power consumption.
Power consumption also plays an important role when establishing a performance-efficient foundation for SoCs. Synopsys provides a broad portfolio of Synopsys DesignWare Foundation IP that includes memory compilers and non-volatile memory (NVM), logic libraries, and general-purpose I/O (GPIO), enabling SoC designers to lower integration risk, achieve the maximum performance with the lowest possible power consumption and speed time-to-market.
As AI continues to push the boundaries of edge computing and becomes more closely embedded across applications, we are excited to continue building innovative deep learning solutions and nurture AI SoCs that will address emerging power, performance, and area (PPA) and time-to-market requirements.