Vendor: Gyrfalcon Technology Category: NPU

Accelerator for Convolutional Neural Networks

Gyrfalcon Technologies(GTI) offers silicon proven, acceleration IP for Convolutional Neural Networks used in image classification…

Overview

Gyrfalcon Technologies(GTI) offers silicon proven, acceleration IP for Convolutional Neural Networks used in image classification, object detection, natural language processing and other artificial intelligence applications. The accelerator utilizes our AI Processing In Memory(APIM) architecture which is specifically designed to address high performance at low power dissipation challenges of the matrix multiplication and memory I/O demands inherent in artificial intelligence tasks. The accelerator IP is available in RTL or hard macros(available in select process geometries). The accelerators are also available in discrete silicon, USB dongles or boards.

Key features

  • GTI completes the AI solution by offering CNN models optimized for our accelerators. These models include VGG, ResNet, MobileNet, and other custom use cases.

Specifications

Identity

Part Number
APIM IP
Vendor
Gyrfalcon Technology
Type
Silicon IP

Provider

Gyrfalcon Technology
HQ: USA
Gyrfalcon Technology Inc. (GTI) is the world’s leading developer of high-performance, low-power and low-cost Artificial Intelligence (AI) accelerators, founded in 2017 by veteran Silicon Valley entrepreneurs and Artificial Intelligence scientists. Chosen as Samsung’s global AI accelerator chip vendor, GTI started shipping first generation chips in Q1 2018. As part of a strategic partnership agreement, GTI chips will enable LG Electronics’ AI products in 2019.

Learn more about NPU IP core

Heterogeneous NPU Data Movement Tax: Intel's Own Slides Tell the Story

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The Upcoming NPU Shakeout

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Frequently asked questions about NPU IP cores

What is Accelerator for Convolutional Neural Networks?

Accelerator for Convolutional Neural Networks is a NPU IP core from Gyrfalcon Technology listed on Semi IP Hub.

How should engineers evaluate this NPU?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this NPU 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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