Machine Learning Inference IP

Quadric's Chimera General Purpose Neural Processing Unit (GPNPU)

Quadric has built a unified HW/SW architecture optimized for on-device artificial intelligence computing. Only the Quadric Chimera GPNPU delivers high ML inference performance and also runs complex C++ code without forcing the developer to artificially partition code between two or three different kinds of processors.

Quadric’s Chimera GPNPU is a licensable processor that scales from 1 to 16 TOPs and seamlessly intermixes scalar, vector and matrix code.

Design your Soc faster with Chimera GPNPU

Traditional Design

Quadric GPNPU Design

One architecture for ML inference plus pre-and-post processing simplifies SoC hardware design and software programming.

Three REASONS TO CHOOSE the chimera GPNPU

1

Handles matrix and vector operations and scalar (control) code in one execution pipeline. No need to artificially partition application code (C++ code, ML graph code) between different kinds of processors.

2

Executes diverse workloads with great efficiency, lower power and faster speed, all in a single processor.

3

Scales from 1 to 16 TOPs.

Find out more about the chimera GPNPU

Quadric Developer studio

Quadric’s hosted SDK provides easy simulation and deployment of AI software.

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Quadric In the news

Quadric Demos AI+ML DevStudio at Embedded Vision Summit 2023

May 22, 2023

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May 22, 2023

Quadric CEO to Speak January 31 at DesignCon 2023

January 10, 2023

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Quadric Insights

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