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., & OSAKA, Japan–(BUSINESS WIRE)–#AI—Quadric, a leading processor technology intellectual property (IP) licensor, and MegaChips, a leading ASIC and SoC services company based in Japan, today announced a strategic partnership to deliver ASIC and SoC solutions built on Quadric’s groundbreaking edge AI processor architecture. MegaChips announced an equity stake in Quadric in January 2022 and is also a major investor in a $21M Series B funding round announced in March through their MegaChips LSI USA Corporation subsidiary. The round aims to help Quadric release the next version of its processor architecture, improve the performance and breadth of the Quadric software development kit (SDK), and roll out IP products to be integrated in MegaChips’ ASICs and SoCs.
Quadric offers the unique ability to handle both neural backbones and classical dynamic data-parallel algorithms in a unified architecture, bringing advanced on-device AI capabilities to edge-based applications. The Quadric architecture is the industry’s first general-purpose neural processing unit (GPNPU). Quadric’s architecture delivers high machine learning (ML) inference performance, but unlike other neural network accelerators that support a limited number of ML graph operators, the Quadric solution also has general-purpose control and signal processing capabilities, 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
While many other edge processing solutions combine high-power CPU clusters or exotic DSPs with application-specific network processing units (NPUs), Quadric’s GPNPU architecture provides the flexibility to accelerate the entire application pipeline without the need for a companion processor paired with the NPU.
“Our continued investment in edge AI leaders like Quadric reflects our commitment to supporting disruptive AI-based on-device computing solutions,” said Douglas Fairbairn, Director, Business Development at MegaChips. “Quadric’s stellar team, market traction with key customers and innovative edge AI solution contributed to our decision to invest in Quadric. We are proud to work with Quadric to bring its end-to-end IP products to our mutual customers in the form of customized silicon.”
MegaChips’ and Quadric’s collaboration addresses a growing industry trend in which cloud-based AI, ML and inference are migrating to the network edge. This migration requires powerful on-device AI processing capabilities to handle the massive amounts of data generated by billions of IoT devices and edge-based applications. Target applications for MegaChips’ ASICs and SoCs based on Quadric’s IP include autonomous driving (ADAS/LiDAR), industrial robotics, factory automation, automated guided vehicles (AGV) and advanced medical equipment.
“It’s an exciting time to partner with a semiconductor innovator like MegaChips to bring accelerated computing to edge devices,” said Veerbhan Kheterpal, co-founder and CEO of Quadric. “While the AI market is saturated with rigid accelerators that only address a portion of the machine learning compute challenge, our processing platform fills the void with a fully programmable, multi-kernel processing architecture. We’ve reimagined a general-purpose processor architecture and built it from scratch to give developers what they want: a versatile, high-performance processing platform that can support any type of AI and ML algorithm with an open ecosystem.”
As technology partners, MegaChips and Quadric are dedicated to bringing a broad range of solutions to customers building products that require edge AI capabilities. MegaChips has more than 30 years of experience delivering custom ASIC products and services to a wide range of customers worldwide. With strong internal design skills in AI, analog, image processing and other key technologies, MegaChips transforms design specifications into cost-effective, high-quality ASICs and SoCs. As a full-service semiconductor supplier with extensive engineering and manufacturing resources, MegaChips offers end-to-end foundry, packaging, testing and qualification capabilities to turn great design ideas into high-volume production silicon.
To learn more about MegaChips AI and ML solutions based on Quadric IP, visit https://megachips.com/artificial-intelligence-machine-learning. To learn more about Quadric’s on-device AI processing architecture, visit quadric.io.
About MegaChips Corporation
MegaChips Corporation (Prime Market of the TSE (Tokyo Stock Exchange): 6875) was established in 1990 as the first innovative fabless semiconductor company in Japan and has focused on R&D and developed unique LSI leveraging proprietary technology. As market needs become increasingly complex due to rapid information technology innovation, we provide total solutions from design to development and production of LSIs that make full use of our unique and original analog and digital technologies and mixed-signal analog/digital technology. While enhancing existing business, we put an effort into sustainable growth focusing its managerial resources into launch of new business targeting the growth areas of automotive, industrial equipment, IoT, communications infrastructure, energy control, and robotics. https://www.megachips.co.jp/english/index.html/
Quadric is building a unified hardware and software architecture optimized for on-device AI computing. Quadric offers next-generation GPNPU processor technology that delivers unmatched capabilities and efficiency across applications for a variety of devices. With AI becoming a business necessity in the global economy, customers need complete AI solutions deployed at scale. Quadric’s unique ability to handle both neural backbones and classical dynamic data-parallel algorithms in a unified architecture is helping to create AI for everyone, everywhere. Learn more at quadric.io.
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