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Quadric Appoints Former Cadence VP Dhanendra Jani as New VP of Engineering

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 […]

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Quadric Announces $21M to Advance Its Disruptive Edge AI Platform

Series B Funding Expands Quadric’s Product Roadmap and Scope of Product Capabilities BURLINGAME, Calif. Quadric, the company building the industry’s most advanced high-performance edge processing platform optimized for on-device AI at the network edge, announced today […]

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Solve SoC Bottlenecks with Smart Local Memory in AI/ML Subsystems

In today’s disaggregated electronics supply chain the (1) application software developer, (2) the ML model developer, (3) the device maker, (4) the SoC design team and (5) the NPU IP vendor often work for as […]

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Don't Fall for Fallback

With the passage of time, Fallback only gets worse. ML models are rapidly evolving, so the reference models of 2022 or 2023 will be replaced with newer, more accurate and more complex ML models in […]

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How to Unlock the Power of Operator Fusion to Accelerate AI

In July of 1887, Carl Benz held the first public outing for his “vehicle powered by a gas engine” – the first automobile ever invented. Nine short months after the first car was publicly displayed, […]

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Failback Fails.  Massive Failure!

Not just a little slow down. A massive failure! Conventional AI/ML inference silicon designs employ a dedicated, hardwired matrix engine – typically called an “NPU” – paired with a legacy programmable processor – either a […]

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Compiler-driven Performance Boosts for GPNPUs

Graph Compilers are just getting started! The GNU C Compiler – GCC – was first released in 1987.  36 years ago.  Several version streams are still actively being developed and enhanced, with GCC13 being the […]

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ConvNext is a Winner!

On Chimera QC Ultra it runs 28x faster than DSP+NPU ConvNext is one of today’s leading new ML networks. Frankly, it just doesn’t run on most NPUs. So if your AI/ML solution relies on an […]

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Quadric’s 3rd Generation Chimera GPNPU Product Family Expands to 864 TOPs, Adds Automotive-Grade Safety Enhanced Versions

Burlingame, CA – July 16, 2024 – Quadric® today introduced the Chimera™ QC Series family of general-purpose neural processors (GPNPUs), a semiconductor intellectual property (IP) offering that blends the machine learning (ML) performance characteristics of a neural […]

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Quadric and MegaChips Form Partnership to Bring IP Products to ASIC and SoC Market

Collaboration Will Leverage High-Performance Quadric GPNPU Architecture to Deliver On-Device AI Solutions BURLINGAME, Calif., and OSAKA, Japan, May 17, 2022 – Quadric, an innovator in high-performance edge processing platforms for on-device AI, and MegaChips, a leading ASIC […]

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