Arm Ethos-U85: Addressing the High Performance Demands of IoT in the Age of AI
Parag Beeraka, Senior Director, Segment Marketing, IoT, Arm
Vendor:
Arm Ltd.
Category:
Edge AI Accelerator
Machine Learning Processor
A new class of machine learning (ML) processor, called a microNPU, specifically designed to accelerate ML inference in area-const…
Overview
A new class of machine learning (ML) processor, called a microNPU, specifically designed to accelerate ML inference in area-constrained embedded and IoT devices. The Ethos-U55 combined with the AI-capable Cortex-M55 processor provides a 480x uplift in ML performance over existing Cortex-M based systems.
Key features
- Partner Configurable
- Multiple configurations allow designers to rapidly target a wide variety of AI applications with up to 480x increase in performance.
- Extremely Small Area
- Ethos-U55 delivers up to 90% energy reduction in about 0.1mm2 for AI applications in cost-sensitive and energy-constrained devices.
- Single Toolchain
- A unified toolchain for Ethos-U55 and Cortex-M simplifies developer use and creation of AI applications.
- Future Proof
- Provides native support for the most common ML network operations, including CNN and RNN, while allowing for future ML innovations.
Specifications
Identity
Part Number
Ethos-U55
Vendor
Arm Ltd.
Type
Silicon IP
Files
Note: some files may require an NDA depending on provider policy.
Provider
HQ:
Great Britain
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Frequently asked questions about Edge AI Accelerator IP cores
What is Machine Learning Processor?
Machine Learning Processor is a Edge AI Accelerator IP core from Arm Ltd. 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.