Highly scalable performance for classic and generative on-device and edge AI solutions

Overview

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 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 Features

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.

Benefits

Single-core performance up to 80 TOPS

Configurable range of 256 MACs per cycle to 32k MACs per cycle
Upward-scalable with multi-core topologies for 100s of TOPS

Efficient offload and execution of neural network processing from any application host processor
Built-in support for many networks, including CNN, RNN, Transformer, and more
Built-in support for multiple data types, including int4, int8, int16, and fp16
Application targets varied across many domains (sensor, audio, vision, radar) and markets (IoT, hearables/wearables, AR/VR, automotive)

Block Diagram

Deliverables

Free Software Evaluation

Try our SDK Software Development Toolkit for 15 days absolutely free. We want to show you how easy it is to use our Eclipse-based IDE.

Online Support

The Cadence Online Support (COS) system fields our entire library of accessible materials for self-study and step-by-step instruction.

Xtensa Processor Generator (XPG)

The Xtensa Processor Generator (XPG) is the heart of our technology - the patented cloud-based system that creates your correct-by-construction processor and all associated software, models, etc. (Login Required)

Technical Forums

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Technical Specifications

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