Vendor: Arm Ltd. Category: Edge AI Accelerator

Machine Learning Processor

Industry- Performance and Efficiency for Inference at the Edge Based on a new, class- architecture, the Arm ML processor’s optimi…

Overview

Industry-Leading Performance and Efficiency for Inference at the Edge

Based on a new, class-leading architecture, the Arm ML processor’s optimized design enables new features, enhances user experience and delivers innovative applications for a wide array of market segments including mobile, IoT, embedded, automotive, and infrastructure. It provides a massive uplift in efficiency compared to CPUs, GPUs and DSPs through efficient convolution, sparsity and compression.

Key features

  • Outstanding Performance
    • Delivers >4 TOPS of performance, scaling to 100s of TOPS in multicore deployments.
  • Highly Efficient
    • Internally distributed SRAM memory stores data close to the compute elements to save power and reduce DRAM access.
  • Optimized Design
    • An innovative architecture drives high MAC utilization, improving convolutional efficiency.
  • Futureproof
    • Supports future innovation in network architecture and algorithms through programmable engines.

Specifications

Identity

Part Number
Arm ML Processor
Vendor
Arm Ltd.
Type
Silicon IP

Files

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

Provider

HQ: Great Britain

Learn more about Edge AI Accelerator IP core

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.

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