Arm welcomes favorable jury verdict in Qualcomm litigation
We are pleased with the jury’s decision today finding for Arm on four claims and awarding only one dollar in damages on each of Qualcomm’s other two claims.
Vendor:
Arm Ltd.
Category:
Edge AI Accelerator
High-Efficiency, Low-Area ML Inference Processor
Optimized for the most cost and battery-life sensitive designs, Ethos-N37 delivers premium AI experiences in entry phones, digita…
Overview
Optimized for the most cost and battery-life sensitive designs, Ethos-N37 delivers premium AI experiences in entry phones, digital TVs, and other endpoint devices. The Arm AI platform combines the highest performance, open-source software framework, and the largest AI ecosystem, to make it easy to develop on Arm.
Key features
- High Efficiency
- Delivers up to 1 TOP/s within 1mm2 using 512 8-Bit MACs.
- Lowest Area
- Smallest-area inference NPU brings battery life savings and quick integration for cost-effective and thermally constrained designs.
- Optimized Design
- Up to 225% convolution performance uplift using Winograd on 3x3 kernels, delivering up to 90% MAC utilization.
- Futureproof
- Supports a wide range of existing ML operations and future innovations through firmware updates and compiler technology.
Specifications
Identity
Part Number
Ethos-N37
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 High-Efficiency, Low-Area ML Inference Processor?
High-Efficiency, Low-Area ML Inference 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.