Quadric simplifies the design and programming of System on Chips (SoCs) for machine learning applications with its General-Purpose Neural Processing Unit (GPNPU) called Chimera. This technology integrates matrix and vector operations with scalar control code in one execution pipeline, allowing developers to streamline their application code. Quadric stands out by providing a complete solution that includes both hardware and software tools, such as the Chimera LLVM C Compiler and Instruction Set Simulator, which enhance the development process. The company's goal is to improve the performance and efficiency of machine learning applications on SoCs.

Pear Ventures

Leawood Venture Capital

Denso

Cota Capital

DENSO International America

NSITEXE

Uncork Capital

Mesh Ventures

MegaChips

Xerox Ventures

Hardware

Enterprise Software

AI & Machine Learning

Quadric

Quadric announces Llama2 LLM support immediately available for Chimera GPNPUs.

Quadric Announces Llama2 LLM Support Immediately Available for Chimera GPNPUs

May 22, 2023 - Quadric TM will be demonstrating the new Quadric Developer Studio, an online collaborative development environment for Chimera TM general purpose neural processing unit (GPNPU) processors, at the Embedded Vision Summit at the Santa Clara Convention Center.

Quadric Demos AI+ML DevStudio at Embedded Vision Summit 2023

Quadric, an edge AI chip provider, has partnered with Ams Osram, an optical solutions provider, to create a smart sensing solution for edge computing applications.

Quadric, Ams Osram to develop smart sensing solutions for edge-based applications | Edge Industry Review

BURLINGAME, Calif. & PREMSTAETTEN, Austria--(BUSINESS WIRE)--Quadric, an innovator in machine learning processor IP for on-device AI, and ams OSRAM (SIX: AMS), a global leader in optical solutions, today announced a strategic collaboration to develop integrated sensing modules combining ams OSRAM’s leading edge Mira Family of CMOS sensors for visible and infrared with Quadric’s novel Chimera™ GPNPU processors. The combined ultra-low power modules will enable new methods of smart sensing for wearable devices, robotics, industrial and security markets. A demonstration of the product will be on display at CES, Las Vegas, January 5-8, 2023.Quadric’s Chimera™ general purpose neural processors (GPNPUs) offer the ability to handle both machine learning graph processing and classical data-parallel C++ algorithms in a unified architecture, bringing advanced on-device AI capabilities to edge-based applications. Quadric's architecture delivers efficient machine learning (ML) inference performance, but unlike other neural network accelerators which support a limited number of machine learning graph operators, the Quadric solution also has general-purpose control and signal processing capability - blending the best attributes of NPU accelerators with DSPs. Quadric GPNPUs can run both neural net graphs and C++ code for signal pre-processing and post-processing and at dramatically lower levels of power dissipation than other edge silicon solutions.The Mira lineup of CMOS image sensors from ams OSRAM are focused on low sensor and system power, and small form factors that maximize resolution efficiency in minimal footprint

Quadric And Ams Osram Collaborate To Bring Intelligent Image Sensors’ Demonstration To Ces

Quadric, an innovator in machine learning processor IP for on-device AI, and ams OSRAM (SIX: AMS), a global leader in optical solutions, today announced a strategic collaboration to develop integrated sensing modules combining ams OSRAM’s leading edge Mira Family of CMOS sensors for visible and infrared with Quadric’s novel Chimera™ GPNPU processors.

Quadric and ams OSRAM bring intelligent image sensors demonstration to ces | ams OSRAM

Quadric, the general purpose neural processing unit (GPNPU) processor IP market leader, announced today an extension and completion of its Series B fu

Quadric Announces Completion of Series B Funding

BURLINGAME, Calif.--(BUSINESS WIRE)--Quadric, the general purpose neural processing unit (GPNPU) processor IP market leader, announced today an extension and completion of its Series B funding round, raising an additional $10M of equity and debt financing in addition to the $21M equity investment announced in February of this year. Xerox Ventures and Mesh Ventures are the latest investors to back Quadric’s innovative processor architecture, joining existing investors DENSO, MegaChips, Leawood VC, Pear VC, Uncork Capital, and Cota Capital.Quadric's unique Chimera™ GPNPU was announced in November. It is a licensable intellectual property processor core sold to semiconductor and systems OEM design teams building advanced custom silicon chips for a wide range of end applications. Chimera GPNPUs are an alternative to complicated heterogeneous multicore solutions, simplifying both the design and programming of devices running leading-edge machine-learning algorithms.“The market has enthusiastically received the announcement of the Chimera GPNPU,” said Veerbhan Kheterpal, Co-founder and CEO of Quadric. “We are rapidly ramping up our commercial teams to engage customers and continuing to expand our top-notch engineering organization to deliver our GPNPU and our world-class software tools for application development. This Series B funding extension gives us even more financial firepower to bolster that expansion.”“Machine learning processing is increasingly critical to the success of systems, products and devices across nearly every end market category,” said Dean Mai, investment director at Xerox Ventures

Quadric Announces Completion Of Series B Funding

Quadric, the general purpose neural processing unit (GPNPU) processor IP market leader, announced today an extension and completion of its Series B funding round, raising an additional $10M of equity and debt financing in addition to the $21M equity investment announced in February of this year.

Quadric Announces Completion of Series B Funding | Business Wire

by Max Maxfield. According to Greek mythology, the Chimera (a.k.a. Chimaera) was a monstrous fire-breathing hybrid creature that was composed of different animal parts. These days, the term “chimera” has come to describe (a) any mythical or fictional creature with parts taken from various animals, (b) anything composed of very disparate parts, or (c) anything perceived as wildly imaginative, implausible, or dazzling

Chimera Gpnpu Blends Cpu, Dsp, And Npu Into New Category Of Hybrid Processor

BURLINGAME, Calif.--(BUSINESS WIRE)--Quadric today introduced Chimera™, the first family of general-purpose neural processors (GPNPUs), a semiconductor intellectual property (IP) offering that blends the machine learning (ML) performance characteristics of a neural processing accelerator with the full C++ programmability of a modern digital signal processor (DSP). Chimera GPNPUs provide one unified architecture for ML inference plus pre-and-post processing, greatly simplifying both system-on-chip (SoC) hardware design by the semiconductor developer today and subsequent software programming months and years later by application developers. “Machine learning is infiltrating nearly all applications everywhere DSPs are traditionally used today for vision, audio, sound, communications, sensors, and so much more,” stated Veerbhan Kheterpal, co-founder and CEO of Quadric. “Existing silicon solutions to the ML inference challenge have added accelerators as helper offload cores to existing DSPs or CPUs. The limitation of that approach is the clumsy way the programmer has to partition her code across the different cores in the system and then tune the interaction between those cores to get desired performance goals. The new Chimera GPNPU family creates a unified, single-core architecture for both ML inference and related conventional C++ processing of images, video, radar or other signals, eliminating multicore challenges.”

Quadric’S New Chimera Gpnpu Processor Ip Blends Npu And Dsp Into New Category Of Hybrid Soc Processor | Business Wire

Simplifies SoC design for machine learning

Quadric

Simplifies SoC design for machine learning

Quadric

Simplifies SoC design for machine learning

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