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All IPs > Processor > AI Processor > Low Power Neural Network Processor

Low Power Neural Network Processor

From Low Power Futures

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Description

The Low Power Neural Network Processor (LP-NNP) is a dedicated AI micro-core crafted for resource-constrained IoT sensors, facilitating efficient neural network processing with minimal power usage. Offering 8-16 bits integer inference capabilities at 1.5-2 GOPS, this processor is power and area-optimized to enhance AI computation at the edge.

With a focus on configurability, the LP-NNP adapts to various application needs, supported by comprehensive firmware that allows seamless integration with existing machine learning libraries. It finds applications in fields such as industrial IoT and smart grids, where intelligent data processing and low energy demands are critical.

This processor is fully compliant with industry standards, facilitating easy integration into a wide range of systems. By enabling distributed learning on smart IoT devices, the LP-NNP significantly contributes to the evolution of AI in IoT environments.

Features
  • Configurable for various applications
  • Supports existing ML libraries
  • Standard-compliant
Foundries & Process Nodes
Foundry Process Nodes
All Foundries All Process Nodes
Tech Specs
Class Value
Categories Processor > AI Processor
Processor > IoT Processor
Processor > CPU
Processor > Vision Processor
Platform Level IP > Multiprocessor / DSP
Platform Level IP > Processor Core Dependent
Platform Level IP > Processor Core Independent
Inference Capability 8-16 bits integer
Performance 1.5-2 GOPS
Optimization Power and area-optimized
Availability All Countries & Regions
Applications
  • Industrial IoT
  • Smart grids
  • Smart cities
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