Future Proof AI
Inference IP 

Scales from 1 to 864 TOPs
Serves All Markets - Includes Safety Enhanced Version for Automotive Designs
Runs Classic ML Models, LLMs, Transformers - Every Operator, Every Network!

SIMPLIFY YOUR SOC DESIGN

And Speed Up Porting of New ML Models

Quadric has 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 864 TOPs.  Chimera GPNPUs run all ML networks - including classical backbones, vision transformers, and large language models.

simplify your soc design

And Speed Up Porting of New ML Models

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 864 TOPs.  Chimera GPNPUs run all ML networks - including classical backbones, vision transformers, and large language models.

Design your Soc faster with Chimera GPNPU

One architecture for ML inference plus pre-and-post processing simplifies SoC hardware design and radically speeds up ML model porting and software  application 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
Runs EVERY kind of model - from classic backbones, to vision transformers, to Large Language Models (LLMs)
3
Up to 864 TOPs. A solution for every application segment - including ASIL-ready cores for Automotive applications
Find out more about the chimera GPNPU

Chimera SDK and Quadric DevStudio 

Quadric’s SDK features world-class compilers, and DevStudio provides easy visualization of SoC design choices.
Learn more

Quadric In the news

Quadric Insights
Complicated Transformer Models Aren’t Working on Older AI Automotive Silicon
March 17, 2025

Change is constant in the AI world. Several new and complicated transformer models have emerged in the past 18 to 24 months as new “must have” networks in advanced automotive use cases.  The problem is […]

Read More
Does Your NPU Do VLMs? It Better!
March 1, 2025

What’s a VLM? Vision Language Models are a rapidly emerging class of multimodal AI models that’s becoming much more important in the automotive world for the ADAS sector. VLMs are built from a combination of […]

Read More
It’s Not All About the MACs: Why “Offload” Fails
January 14, 2025

A common approach in the industry to building an on-device machine learning inference accelerator has relied on the simple idea of building an array of high-performance multiply-accumulate circuits – a MAC accelerator. This accelerator was […]

Read More
Complicated Transformer Models Aren’t Working on Older AI Automotive Silicon
March 17, 2025

Change is constant in the AI world. Several new and complicated transformer models have emerged in the past 18 to 24 months as new “must have” networks in advanced automotive use cases.  The problem is […]

Read More
Does Your NPU Do VLMs? It Better!
March 1, 2025

What’s a VLM? Vision Language Models are a rapidly emerging class of multimodal AI models that’s becoming much more important in the automotive world for the ADAS sector. VLMs are built from a combination of […]

Read More
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