On July 8, GlobalFoundries (GF) announced it has entered into a definitive agreement to acquire MIPS, a veteran semiconductor IP company now focused on RISC-V processor technologies. The financial terms of the deal were not disclosed. The acquisition is expected to close in the second half of 2025, subject to customary regulatory approvals.
Founded over 40 years ago, MIPS has undergone multiple transitions—once known for its proprietary MIPS architecture, it has since pivoted to developing high-performance RISC-V-based IP, including CPUs optimized for automotive, industrial, and AI edge applications. Its recent products include the P8700 CPU for ADAS and autonomous driving, and the Atlas platform targeting real-time and AI processing workloads.
GlobalFoundries stated the acquisition will expand its customizable IP offerings and help differentiate its process technologies by integrating compute IP with its manufacturing capabilities. “MIPS brings a strong heritage of delivering scalable compute IP tailored for performance-critical applications,” said Niels Anderskouv, President and COO of GF. “This acquisition will enhance our ability to offer flexible solutions across automotive, industrial, and data center markets.”
MIPS will operate as an independent business unit within GlobalFoundries and continue to serve its existing customers and maintain relationships with other foundries. GF emphasized that combining MIPS’s RISC-V IP with its global secure manufacturing footprint will open new opportunities in the emerging Physical AI segment—a convergence of hardware-accelerated AI and edge computing.
MIPS CEO Sameer Wasson commented, “Becoming part of GlobalFoundries marks the start of a bold new chapter. GF’s differentiated process technologies and global scale will accelerate our innovation and create greater value for customers.”
This move signals GF’s growing interest in expanding beyond traditional foundry services, positioning itself as a provider of integrated solutions that blend IP, process, and packaging technologies to meet the evolving needs of AI-driven markets.
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