Efficient to build ultra low power MRAM processor on GF 22FDX
US processor designer Efficient has signed a strategic partnership with GlobalFoundries (GF) that will see its chip built on the 22FDX process.
Efficient is already working with select customers for early access and sampling on the GF 22nm low power silicon on insulator process with MRAM memory is expected by summer 2025.
The partnership will combine the Fabric processor architecture developed by Efficient with GF’s US manufacturing and global reach for low power edge devices. The processor is designed for low power general purpose processing for applications across the Internet of Things, wearable and implantable health devices, space systems, and security and defence.
Efficient, a spin out of Carnegie Mellon University in the US, has raised over $16m for the development of the Fabric processor that conserves energy across various applications, including machine learning-enabled (ML) extreme-edge machine vision, continuous audio intelligence and versatile sensory and signals intelligence. It also allows developers to use their own code, supporting popular embedded languages like C and TFlite at launch, with a roadmap to support many more in the first year, to create sophisticated intelligence applications that incorporate artificial intelligence, ML, signal processing, data analytics and other general-purpose data processing tasks.
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The deal with GF will see the chip use magnetic MRAM memory and Adaptive Body Biasing (ABB) on SOI for even lower power consumption.
“With energy efficiency at the forefront, our founding mission at Efficient was to reimagine general-purpose computing from the ground up and we are incredibly proud to bring our category-defining general-purpose processor to market,” said Brandon Lucia, Co-Founder and CEO of Efficient. “Partnering with GlobalFoundries was a natural fit and we are confident that together we will empower the world’s most critical industries to embrace the next evolution of energy efficient computing with ease and reliability.”
“We are excited to partner with a brilliant team of engineers at Efficient who are bringing a novel approach to processing architecture and setting a new benchmark for energy-efficient computing using GF’s 22FDX platform,” said Faisal Saleem, Senior Vice President of End-Markets at GF. “Together with Efficient, we will meet a growing market need for ML-enabled intelligent edge devices across various domains that are power efficient and deliver strong computing performance.”
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