Flexibility of a Processor + Efficiency of an NPU Accelerator 

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

Best Edge AI Processor IP

Simplify your SOC design

And Speed Up Porting of New AI Models

Quadric has the leading processor architecture optimized for on-device artificial intelligence computing. Only the Quadric Chimera GPNPU delivers high AI 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 AI models - including classical backbones, vision transformers, and state-of-the-art 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

The Other Guy's NPU

Messy, Heterogeneous, Only Partially Flexible,
Nightmare to Program & Tune

Quadric GPNPU

Single Core, 100% C++ Programmable
Single Unified Binary for Complete Inference Workload
One architecture for AI inference plus pre-and-post processing simplifies SoC hardware design and radically speeds up AI 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, AI graph code) between different kinds of processors.
2
Runs EVERY kind of model - from classic backbones, to vision transformers, to Large Language Models (LLMs) - and all the models that have not been invented yet!
3
Up to 864 TOPS. Suitable for every application segment - including ASIL-ready cores for automotive applications

Chimera SDK and Quadric DevStudio 

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

Quadric Insights

The Upcoming NPU Shakeout

At some point in everyone’s teenage years of schooling we were all taught in a nature or biology class about cycles of population surges and then inevitable population collapses.  Whether the example was an animal, […]

Read More
Legacy NPUs All Have One Serious Fatal Flaw

Five or six years ago, CPU IP providers jumped into the NPU accelerator game to try to keep their CPUs relevant with a message of “use our trusted CPU and offload those pesky, compute hungry […]

Read More
Complicated Transformer Models Aren’t Working on Older AI Automotive Silicon

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
The Upcoming NPU Shakeout

At some point in everyone’s teenage years of schooling we were all taught in a nature or biology class about cycles of population surges and then inevitable population collapses.  Whether the example was an animal, […]

Read More
Legacy NPUs All Have One Serious Fatal Flaw

Five or six years ago, CPU IP providers jumped into the NPU accelerator game to try to keep their CPUs relevant with a message of “use our trusted CPU and offload those pesky, compute hungry […]

Read More
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