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Ceva Unveils Next-Generation NeuPro NPU Portfolio and Announces Expansion into AI Infrastructure

PR Newswire•28/10/2026•07:00 ET
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Key Highlights

  • ➤NeuPro portfolio delivers up to 2X higher AI throughput per mm²
  • ➤Next-generation NeuPro improves energy efficiency by 50% versus first generation
  • ➤Four NPUs span always-on sensing through cloud and data center inference
  • ➤NeuPro Ultra expands Ceva into AI infrastructure, memory and connectivity silicon
  • ➤General availability is planned for the second quarter of 2027

Expert Statements

Yaron Galitzky, Executive Vice President, AI Division at Ceva

“Working closely with the more than 15 customers who have licensed the first generation of NeuPro has shown us that successful AI products depend on the right balance of compute, memory, bandwidth, power and cost for each use case.”

Yaron Galitzky, Executive Vice President, AI Division at Ceva

“Our team designed this next generation around those lessons, giving customers more room to deploy demanding models today and prepare for the workloads ahead.”

Amir Panush, Chief Executive Officer of Ceva

“A common NPU architecture and software stack across every class of AI workload lets our customers build once and deploy across their roadmap.”

Amir Panush, Chief Executive Officer of Ceva

“NeuPro Ultra brings that platform into AI infrastructure, an important step in Ceva's strategy to put neural processing into a broader range of semiconductor products.”

Amir Panush, Chief Executive Officer of Ceva

“Customers building silicon for these markets can draw on Ceva's architecture, software and experience rather than developing an NPU platform from scratch.”

Ceva Unveils Next-Generation NeuPro NPU Portfolio and Announces Expansion into AI Infrastructure PR Newswire

A common architecture and unified software stack span Physical AI applications from always-on sensors to AI infrastructure, delivering up to 2X higher AI throughput per mm² and 50% better energy efficiency for the latest multimodal, generative and agentic AI workloads

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