Cadence Accelerates Physical AI Applications with Tensilica NeuroEdge 130 AI Co-Processor
New class of processor raises the bar for performance efficiency, delivering 30% area savings and 20% lower power
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250507015536/en/

The Cadence Tensilica NeuroEdge 130 AI Co-Processor is a new class of processor designed to complement any NPU and enable end-to-end execution of the latest agentic and physical AI networks.
“With the rapid proliferation of AI processing in physical AI applications such as autonomous vehicles, robotics, drones, industrial automation and healthcare, NPUs are assuming a more critical role,” said
Featuring an extensible design that enables seamless compatibility with in-house NPUs,
- VLIW-based SIMD architecture with configurable options enables high performance and low power consumption
- Issues instructions and commands to the NPU as a control processor
- Optimized ISA and instructions run non-NPU optimal tasks such as ReLU, sigmoid, tanh and more
- Provides programmability, flexibility and future-readiness to the AI subsystem, allowing end-to-end execution of unseen and future AI workloads
“Cadence has proven AI co-processor use cases with our Tensilica DSPs. With AI workloads transforming and becoming less domain-specific, our AI SoC and systems customers have been seeking a small and efficient AI-focused co-processor for better PPA and future-proofing,” said
“AI and computer vision are playing an important role in a growing range of embedded applications,” said
The Tensilica NeuroEdge 130 AICP is supported by the Cadence NeuroWeave™ Software Development Kit (SDK), a single SDK used across all of Cadence’s
Customer and Partner Endorsements
“As a leader in SoC solutions targeting the automotive market, indie focuses on SoC architecture innovation to deliver high performance with area and power efficiency. To achieve this, we integrate processing elements into our SoCs optimally suited to particular computational functions, ensuring that our solutions can meet the demands of ADAS systems for computer vision, radar and sensor fusion. indie has successfully deployed Tensilica DSPs in multiple production ADAS SoCs. We welcome the addition to Cadence’s IP portfolio of the NeuroEdge AICP and supporting tools, software libraries and ecosystem to address evolving AI-enabled automotive applications.”
“MulticoreWare’s longstanding partnership with Cadence has positioned us to support OEMs and Tier 1 partners deploying AI workloads in automotive and other edge environments. Through these collaborations, we’ve observed firsthand how NPUs often fall short as a complete, standalone AI deployment solution. Building on Cadence’s leadership in DSP technology, the new NeuroEdge AICP hardware and SDK elegantly address this gap. AI SoC modules built around the NeuroEdge AICP not only deliver peak performance for today’s leading models but also offer the flexibility to accommodate future AI innovations.”
Dr.
“Neuchips is revolutionizing data centers and server farms with cutting-edge SoCs designed to handle the immense processing demands of large language models and transformers. As the SoC AI subsystems are frequently challenged with supporting pre- and post-processing stages, it is great to see that the NeuroEdge AICP is designed to manage such tasks. Cadence’s mature
Availability
The Tensilica NeuroEdge 130 AICP is generally available now and is ISO 26262-ready for the automotive market. To learn more, visit the Cadence Tensilica NeuroEdge 130 AICP landing page.
About Cadence
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the
© 2025
Category: Featured
View source version on businesswire.com: https://www.businesswire.com/news/home/20250507015536/en/
For more information, please contact:
Cadence Newsroom
408-944-7039
newsroom@cadence.com
Source: