#Taiwan #Hsinchu #M31 Technology #Ambiq #TSMC N12e

M31 and Ambiq Collaborate on Ultra-Low-Power SoC Solutions

M31 Technology, a renowned provider of silicon intellectual properties, has recently formed a strategic partnership with Ambiq, a leader in ultra-low power semiconductor technology. This collaboration focuses on the development of a pioneering ultra-low-power Foundation IP solution on the TSMC N12e® process. Announced at the TSMC 2026 North America Open Innovation Platform® (OIP) Ecosystem Forum, this joint effort aims to assist designers of system-on-chips (SoCs) in achieving stringent power and area requirements for various applications including AIoT (Artificial Intelligence of Things) and wearables.

As the demand for smart, always-on applications grows, the pressure on SoC designers intensifies. Implementing embedded intelligence and ensuring extended battery life are critical for success in today’s competitive market. Designed specifically for TSMC's N12e® technology, the new Foundation IP solution is engineered to enhance energy efficiency while maintaining the necessary performance levels for complex workloads associated with edge computing.

Innovative Features of the Foundation IP Solution

The Foundation IP consists of several high-performance components designed to promote low leakage and optimize area usage. One significant feature is the TSMC N12e® ULL (Ultra Low Leakage) SPSRAM memory compiler. This cutting-edge memory compiler is built to deliver high-density performance with exceptionally low leakage levels. It incorporates essential features such as redundancy, power gating, and Built-In Self-Test (BIST), providing SoC designers an edge in maintaining energy efficiency.

What makes this memory compiler stand out is its dual-rail architecture, which can achieve speeds close to 500 MHz while being operated at near-threshold voltages. Initial tests of the compiler have already indicated substantial PPA (Power, Performance, Area) gains, and M31 continues to work on its full development for broader applications.

In addition to the memory compiler, M31 has also provided a specialized standard-cell library designed for Ambiq's platforms. This library has been achieved through a collaborative design effort with Ambiq, resulting in a reduction of approximately 50% in leakage power. The unique cascade-style approach employed by Ambiq, combined with M31's innovative circuit designs, empowers a new generation of always-on sensing applications and edge intelligence.

Meeting the Challenges of Modern Design

According to Scott Hanson, Founder and CTO of Ambiq, energy efficiency must begin with the fundamental design of system-on-chips, particularly as devices become more adept at tackling complex AI tasks. The partnership with M31 aims to integrate these critical components into their upcoming top-tier platform based on the TSMC N12e® process.

Jayanta Lahiri, Vice President at M31, emphasizes the ongoing challenges faced by designers who must achieve unprecedented objectives concerning energy and area while also ensuring meaningful computational capabilities. The integration of M31’s high-efficiency memory compiler with standard-cell foundations, optimized alongside Ambiq’s innovations, allows for achieving aggressive PPA goals in a practical, implementation-friendly manner.

Future Prospects

Looking ahead, M31 plans to expand its portfolio of low-power IP offerings on advanced process nodes, collaborating closely with ecosystem partners to bring forth enhanced low-leakage solutions perfect for the next generation of Edge AI applications. This collaboration represents a significant advancement in the quest for more efficient power management in SoC designs, ensuring that they meet the demands of an increasingly energy-conscious digital landscape.

In conclusion, the alliance between M31 Technology and Ambiq signifies a crucial step towards delivering ultra-low-power solutions that are set to revolutionize the semiconductor industry. With a strong focus on innovation, both companies are well-positioned to lead in the fast-evolving technologies that define the future of AI and edge computing.