Lowest Power and Cost End Point AI Accelerator

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.

• Up to 1 TOPS
• Up to 1 MB Local Memory
• RISC-V/Arm Cortex-M 32-bit CPU
• 3 x AXI4, 128b (Host, CPU & Data)

• The NMP-350 extends the low power leadership of the NeuroMosAIc Processor family delivering 60% higher performance efficiency while maintaining concurrent multimodal inferencing matched to modern sensors and embedded systems. Architecture changes include doubling the core count per tile enabling up to 1 TOPS while improving utilization and lowering area by 25%.
• An upgraded RISC-V controller delivers 4x initialization and post-processing performance with the option of swapping with an Arm Cortex-M. Activation function support is expanded to align with state-of-the-art neural network architectures.
• Four MAC unit configurations enable drop-in compatibility with area-constrained systems from sensors and MCUs to dedicated functions within complex SoCs.

• Driver Authentication, Digital Mirrors, and Personalization
• Predictive Maintenance
• Machine Automation
• Health Monitoring