Vendor: Low Power Futures Category: Edge AI Accelerator

Low Power AI Micro-Core

Low Power AI Micro-Core IP generated with a fully customizable and flexible core generator.

Overview

Low Power AI Micro-Core IP generated with a fully customizable and flexible core generator. Its highly-efficient architecture enables low power neural network processing on resource-limited IoT edge endpoints.

Its applications includes industrial IoT, smart grid, health monitor, wearable, etc.

Key features

  • Fully programmable
  • Int16
  • Fixed Point
  • FP16
  • Built-in prescaling and denormalization

Benefits

  • Power and area-optimized
  • Fully integrated for better portability to different embedded processors, including ARM and RISCV
  • Built for smooth integration into an SoC or used as the main foundation of a standalone SoC
  • Support for highly-differentiating products at a lower cost and time-to-market
  • Complete UVM Verification environment
  • End-to-end FPGA Validation Platform

Applications

  • Industrial IoT
  • Smart Grid
  • Health Monitoring
  • Wearable

What’s Included?

  • Delivered as Soft or Hard IP
  • Comprehensive Firmware
  • FPGA Validation Platform
  • UVM Test Bench
  • Technical Specifications
  • Integration Manual

Files

Note: some files may require an NDA depending on provider policy.

Specifications

Identity

Part Number
LP-NNP
Vendor
Low Power Futures

Provider

Low Power Futures
HQ: Canada
Low Power Futures is an industry leading low-power and ultra-low-power hardware and firmware IP for IoT. We enable the “Internet of Things” by providing innovative, power-efficient, highly integrated, secure and configurable IPs designed for low-power IoT systems. With LPF IP leverage reconfigurable technology for custom and optimize IoT chip solutions and products.

Learn more about Edge AI Accelerator IP core

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Frequently asked questions about Edge AI Accelerator IP cores

What is Low Power AI Micro-Core?

Low Power AI Micro-Core is a Edge AI Accelerator IP core from Low Power Futures listed on Semi IP Hub.

How should engineers evaluate this Edge AI Accelerator?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Edge AI Accelerator IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

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