Overview
Scalable and Power-Efficient Neural Processing Units
The Cadence Neo NPUs offer energy-efficient hardware-based AI engines that can be paired with any host processor for offloading artificial intelligence and machine learning (AI/ML) processing. The Neo NPUs target a wide variety of applications, including sensor, audio, voice/speech, vision, radar, and more. The comprehensive performance range makes the Neo NPUs well-suited for ultra-power-sensitive applications such as IoT, hearables/wearables, high-performance systems in AR/VR, automotive, and more.
The product architecture natively supports the processing required for many network topologies and operators, allowing for a complete or near-complete offload from the host processor. Depending on the application’s needs, the host processor can be an application processor, a general-purpose MCU, or a DSP for pre-/post-processing and associated signal processing, with the inferencing managed by the NPU.
Key Benefits
Differentiate Your Design, While Delivering Market-Leading Capabilities
Flexible System Integration
The Neo NPUs can be integrated with any host processor to offload the AI portions of the application
Scalable Design and Configurability
The Neo NPUs support up to 80 TOPS with a single-core and are architected to enable multi-core solutions of 100s of TOPS
Efficient in Mapping State-of-the-Art AI/ML Workloads
Best-in-class performance for inferences per second with low latency and high throughput, optimized for achieving high performance within a low-energy profile for classic and generative AI
Industry-Leading Performance and Power Efficiency
High Inferences per second per area (IPS/mm2 and per power (IPS/W)
End-to-End Software Toolchain for All Markets and a Large Number of Frameworks
NeuroWeave SDK provides a common tool for compiling networks across IP, with flexibility for performance, accuracy, and run-time environments
Features
Performance Options to Fit Your Application
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Xtensa Processor Generator (XPG)
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