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.
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.
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
Specifications
Identity
Part Number
LP-NNP
Vendor
Low Power Futures
Type
Silicon IP
Files
Note: some files may require an NDA depending on provider policy.
Provider
HQ:
Canada
Frequently asked questions about Edge AI Accelerator IP cores
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.