NXP acquires edge AI leader Kinara in 307 million USD transaction

NXP Semiconductors today announced it has entered into a definitive agreement to acquire Kinara, Inc., an industry leader in high performance, energy-efficient and programmable discrete neural processing units (NPUs).

These devices enable a wide range of edge AI applications, including multi-modal generative AI models. The acquisition will be an all-cash transaction valued at $307 million and is expected to close in the first half of 2025, subject to customary closing conditions, including regulatory clearances.

“The future of intelligent systems will require secure, cost-effective and energy efficient AI processing at the edge. As a result, the edge AI processing market is growing rapidly. Advanced AI at the edge enables critical decisions to be made locally and independently from the cloud, leading to faster responses, improved data privacy, and reduced costs.

Kinara’s innovative NPUs and comprehensive software enablement deliver energy-efficient AI performance across a range of neural networks, including conventional AI, as well as generative AI, to address the rapidly growing AI needs of industrial and automotive markets. The acquisition will enhance and strengthen NXP’s ability to provide complete and scalable AI platforms, from TinyML to generative AI, by bringing discrete NPUs and robust AI software to NXP’s portfolio of processors, connectivity, security, and advanced analog solutions,” a release shows.

“The industrial market is going through a transformation, with new innovations like generative AI helping to deliver major improvements in efficiency, sustainability, safety and predictability, and in many instances, unlock new use cases and functionality,” said Rafael Sotomayor, executive vice president and general manager, Secure Connected Edge at NXP. “Adding Kinara’s AI capabilities to our broad intelligent edge portfolio creates a scalable platform for new classes of AI-powered systems. Together, we can help our customers simplify complexity and accelerate time to market as they create transformative AI systems.”