Performance AI Accelerator for Edge Computing

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 16 TOPS
• Up to 16 MB Local Memory
• RISC-V/Arm Cortex-R or A 32-bit CPU
• 3 x AXI4, 128b (Host, CPU & Data)

• As the highest-performance member of the NeuroMosAIc Processor family, the NMP-750 delivers over 16TOPS in its largest configuration making it an ideal choice for edge and edge network devices. A smaller configuration option allows engineers to scale back performance where area and power are the primary design criteria.
• Numerous architectural advances result in higher convolution throughput and 2x compute density while lowering total area by 25%. The addition of MISH and SWISH activation function support extends efficiency while an upgraded RISC-V controller delivers 4X initialization and post-processing performance over the NMP-500. Alternatively, designers may elect to use the Arm® Cortex®-M or Cortex-A for further flexibility and software extension.
• The patented and co-developed hardware and software architecture enables end-user flexibility to mold multiple models to the accelerator resources to achieve simultaneous, sequential or event-based requirements.

• Mobility and Autonomous Control
• Process, Building, and Factory
• Automation
• Multi-Camera Stream Processing
• Spectral Efficiency and Energy Mgmt