Machine Learning Inference IP

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

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Quadric is the leading processor 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. Chimera GPNPUs run all types ML networks - including classical backbones, vision transformers, and large language models.

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 - including state-of-the-art ViT models - with efficiency, low 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 Announces Llama2 LLM Support Immediately Available for Chimera GPNPUs

September 14, 2023

Quadric Joins the Silicon Catalyst In-Kind Partner Ecosystem

June 29, 2023

Quadric Announces Vision Transformer Support for Chimera GPNPUs

June 20, 2023

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