The Chiplet Summit recently concluded. Multi-die heterogeneous design is a hot topic these days and chiplets are a key enabler for this trend. The conference was noticeably larger this year. There were many presentations and exhibits that focused on areas such as how to design chiplets, what standards are important, how to integrate… Read More
I am the Chief Marketing Officer at Quadric, where I have spent the past four years helping scale the company’s market presence and customer engagement. Quadric is a pure-play IP licensing company that has been operating for more than seven years. We specialize in a truly unique,… Read More
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
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
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
Dan is joined by Steve Roddy, chief marketing officer of Quadric, a leading processor technology intellectual property (IP) licensor. Roddy brings more than 30 years of marketing and product management expertise across the machine learning (ML), neural network processor (NPU), microprocessor, digital signal processor
At TechCon I had a 1×1 with Steve Roddy, VP of product marketing in the Machine Learning (ML) Group at Arm. I wanted to learn more about their ML direction since I previously felt that, amid a sea of special ML architectures from everyone else, they were somewhat fudging their position in this space. What I heard earlier was that… Read More
