In the rapidly evolving landscape of AI, stands out as a pioneering force in edge computing. Founded in 2018 and headquartered in Burlingame, California, Quadric is a technology company focused on developing high-performance, energy-efficient processors for AI workloads at the edge devices like smartphones, IoT sensors,… Read More
Legacy IP Providers Struggle to Solve the NPU Dilemna
At Quadric we do a lot of first-time introductory visits with prospective new customers. As a rapidly expanding processor IP licensing company that is starting to get noticed (even winning IP Product of the Year!) such meetings are part of the territory. Which means we hear a lot of similar sounding questions from appropriately… Read More
Recent AI Advances Underline Need to Futureproof Automotive AI
The world of AI algorithms continues to advance at a furious pace, and no industry is more dependent on those advances than automotive. While media and analysts continue to debate whether AI will deliver value in business applications, there is no question that it adds value to cars, in safety, some level of autonomous driving, … Read More
2025 Outlook with Veerbhan Kheterpal of Quadric
Quadric Inc. is the leading licensor of general-purpose neural processor IP (GPNPU) that runs both machine learning inference workloads and classic DSP and control algorithms. Quadric’s unified hardware and software architecture is optimized for on-device ML inference. Veerbhan Kheterpal is the CEO and one of the co-founders… Read More
Tier1 Eye on Expanding Role in Automotive AI
The unsettled realities of modern automotive markets (BEV/HEV, ADAS/AD, radical views on how to make money) don’t only affect automakers. These disruptions also ripple down the supply chain prompting a game of musical chairs, each supplier aiming to maximize their chances of still having a chair (and a bigger chair) when the … Read More
A New Class of Accelerator Debuts
I generally like to start my blogs with an application-centric viewpoint; what end-application is going to become faster, lower power or whatever because of this innovation? But sometimes an announcement defies such an easy classification because it is broadly useful. That’s the case for a recent release from Quadric, based… Read More
The Fallacy of Operator Fallback and the Future of Machine Learning Accelerators
As artificial intelligence (AI) and machine learning (ML) models continue to evolve at a breathtaking pace, the demands on hardware for inference and real-time processing grow increasingly complex. Traditional hardware architectures for acceleration are proving inadequate to keep up with these rapid advancements in ML … Read More
2024 Outlook with Steve Roddy of Quadric
Quadric Inc. is the leading licensor of general-purpose neural processor IP (GPNPU) that runs both machine learning inference workloads and classic DSP and control algorithms. Quadric’s unified hardware and software architecture is optimized for on-device ML inference. I have know Steve Roddy for many years, he is a high … Read More
Fast Path to Baby Llama BringUp at the Edge
Tis the season for transformer-centric articles apparently – this is my third within a month. Clearly this is a domain with both great opportunities and challenges: extending large language model (LLM) potential to new edge products and revenue opportunities, with unbounded applications and volumes yet challenges in meeting… Read More
Vision Transformers Challenge Accelerator Architectures
For what seems like a long time in the fast-moving world of AI, CNNs and their relatives have driven AI engine architectures at the edge. While the nature of neural net algorithms has evolved significantly, they are all assumed to be efficiently handled on a heterogenous platform processing through the layers of a DNN: an NPU for … Read More

