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 AI Accelerator for Edge Computing
Overview
Key Features
- Performance: Up to 16 TOPs
- MACs (8x8): 4K, 8K
- Data Types: 1-bit, INT8, INT16
- Internal SRAM: Up to 16 MB
Block Diagram
Applications
- Mobility and Autonomous Control
- Process, Building, and Factory
- Automation
- Multi-Camera Stream Analytics
- Spectral Efficiency and Energy Management
Technical Specifications
Maturity
Production Proven
Availability
Publicly Licensable
Related IPs
- Performance Efficiency AI Accelerator for Mobile and Edge Devices
- Performance Efficiency Leading AI Accelerator for Mobile and Edge Devices
- Edge AI Accelerator NNE 1.0
- Highly scalable performance for classic and generative on-device and edge AI solutions
- High-Performance Edge AI Accelerator
- High Performance RISC-V Processor for Edge Computing