Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.
Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.
Full-Time
Simplifies SoC design for machine learning
No salary listed
Expert
Burlingame, CA, USA
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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 serves the semiconductor industry by providing its GPNPU hardware and software development kits, enabling efficient design and deployment of machine learning applications. The company's goal is to enhance the performance and ease of developing SoCs for AI applications.
Company Size
11-50
Company Stage
Series B
Total Funding
$48.3M
Headquarters
Burlingame, California
Founded
2017
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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, an edge AI chip provider, has partnered with Ams Osram, an optical solutions provider, to create a smart sensing solution for edge computing applications.
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, 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.