The NeuroMosaic Processor (NMP) family is shattering the barriers to deploying ML by delivering a general-purpose architecture and simple programmer’s model to enable virtually any class of neural network architecture and use case.
Our unique differentiation starts with the ability to simultaneously execute multiple AI/ML models significantly expanding the realm of capability over existing approaches. This game-changing advantage is provided by the co-developed NeuroMosAIc Studio software’s ability to dynamically allocate HW resources to match the target workload resulting in highly optimized, low-power execution. The designer may also select the optional on-device training acceleration extension enabling iterative learning post-deployment. This key capability cuts the cord to cloud dependence while elevating the accuracy, efficiency, customization, and personalization without reliance on costly model retraining and deployment, thereby extending device lifecycles.
Performance Efficiency AI Accelerator for Mobile and Edge Devices
Overview
Key Features
- Performance: Up to 4 TOPs
- MACs (8x8): 512, 1K, 2K
- Data Types: 1-bit, INT8, INT16
- Internal SRAM: Up to 4MB
Block Diagram

Applications
- Driver Monitoring and Fleet Management
- Image and Video Analytics
- Security and Surveillance
- Safety and Compliance Monitoring
Technical Specifications
Maturity
Production Proven
Availability
Publicly Licensable
Related IPs
- Performance Efficiency Leading AI Accelerator for Mobile and Edge Devices
- Edge AI Accelerator NNE 1.0
- Scalable Edge NPU IP for Generative AI
- Lowest Cost and Power AI Accelerator for End Point Devices
- Performance AI Accelerator for Edge Computing
- Highly scalable performance for classic and generative on-device and edge AI solutions