Unlocking performance and efficiency gains in AI, image, and signal processing

High Performance, Minimal Power: How OpenHW Foundation’s CV32E20X core and CV-X-IF interface helped unlock performance and efficiency gains in AI, image, and signal processing for Synthara.

To meet the growing demands of edge AI and IoT applications, Swiss semiconductor company Synthara AG needed a highly efficient, scalable solution for integrating custom accelerators into RISC-V CPUs. By adopting the CV32E20X core and CV-X-IF interface developed by OpenHW, Synthara built a co-processor that extends the instruction set without modifying the CPU pipeline. This case study explores how the team leveraged in-memory computing and open standards to deliver efficient, low-power solutions for next-generation devices.

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