Burlingame, CA – May 12, 2025 – Quadric® today announced that it will showcase its ChimeraTM general-purpose neural processing unit (GPNPU) at the Embedded Vision Summit, May 20-22, 2025, at the Santa Clara Convention Center. The Chimera GPNPU was recently named the 2025 Best Edge AI Processor IP by the Edge AI and Vision Alliance. Quadric […]
See the 2025 Best Edge AI Processor IP at the Embedded Vision Summit Read More +
Burlingame, CA – April 21, 2025 – Quadric® today announced that its ChimeraTM QC general-purpose neural processing unit (GPNPU) was named the 2025 best edge AI processor IP by the Edge AI and Vision AllianceTM. The annual Edge AI and Vision Product of the Year Awards celebrate the top building-block components that enable edge AI
Quadric’s Chimera GPNPU Named Best Edge AI Processor IP by Edge AI and Vision Alliance Read More +
Awards Celebrate Innovation and Achievement in Computer Vision and Edge AI SANTA CLARA, Calif., April 21, 2025 — The Edge AI and Vision Alliance today announced the 2025 winners of the Edge AI and Vision Product of the Year Awards and the AI Innovation Awards. The Edge AI and Vision Product of the Year Awards
Quadric’s Chimera QC Series GPNPU Processors has been awarded the 2025 Edge AI and Vision Product of the Year Award in the Edge AI Processors IP category. The Chimera GPNPU family, which scales up to 800 TOPs, is the only fully C++ programmable neural processor solution that can run complete AI and machine learning models
The Edge AI and Vision Alliance 2025 CES Directory for game-changing computer vision and AI technologies Many Alliance Member companies will be showing off the latest building-block technologies that enable new capabilities for machines that see! CES is huge so we’ve created a handy checklist of these companies and where to find them including how
Alliance Members at 2025 CES Read More +
Chimera QC Series GPNPUs add more configurability, scales single cores to over 100 TOPs New multicore cluster QC-M family scales up to 864 TOPs Compute density increases TOPs/mm2 up to 2.7X greater than previous generation Adds floating point and 4-bit weight support Safety Enhanced Versions add ASIL-B/D compatible versions for automotive designs Burlingame, CA – July
Aman Sikka, Chief Architect at Quadric, presents the “Meeting the Critical Needs of Accuracy, Performance and Adaptability in Embedded Neural Networks” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Sikka explores the challenges of accuracy and performance when implementing quantized machine learning inference algorithms on embedded systems. He explains how the thoughtful
Jeff Bier, co-founder of the Edge AI and Vision Alliance, interviews Daniel Firu, co-founder and Chief Product Officer of Quadric, to learn how Quadric’s Chimera processor IP helps tackle the challenge of supporting the latest state-of-the-art deep neural network models in edge silicon devices. Bier and Firu explore the hurdles facing system and software developers
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One architecture for ML inference plus pre-and-post processing Simplifies SoC hardware design – single core ML subsystem eliminates multicore challenges Greatly simplifies programming, with NN graphs and C++ code merged into a single stream Burlingame, CA – November 1, 2022 – Quadric today introduced Chimera™, the first family of general-purpose neural processors (GPNPUs), a semiconductor
Experienced Semiconductor IP Engineering Leader Adds Deep Processor Design Expertise to Fast Growing Team Burlingame, CA – October 11, 2022 – Quadric, the GPNPU intellectual property (IP) licensor, today announced that Dhanendra Jani, a former vice president of engineering at Cadence, has joined the company’s executive team as vice president of engineering. This new role
Quadric Appoints Former Cadence VP Dhanendra Jani as New VP of Engineering Read More +
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