Led by former Qualcomm and Intel executives, EdgeQ is developing a converged 5G and AI silicon platform for edge computing networks. Credit: Elenabs / Getty Images A new startup has emerged from stealth mode with a design that converges 5G connectivity and AI compute onto a system-on-a-chip (SoC) that’s aimed at edge networks. Founded in 2018, EdgeQ was launched by former executives at Broadcom, Intel, and Qualcomm and has racked up $51 million in funding. EdgeQ’s AI-5G SoC is aimed at 5G private wireless networks for the Industrial Internet of Things (IIoT). EdgeQ says its chip will allow enterprises in manufacturing, energy, automotive, telco and other verticals to harness private networking for disruptive applications, intelligent services, and new business models. “We are rapidly evolving from a smartphone economy to a constellation of intelligent edge devices,” said Vinay Ravuri, CEO and founder of EdgeQ, in a statement. “This will cause massive disruption to the current paradigm, where existing fixed-function approaches are inadequate to meet the scale, speed, and breadth of new end connections.” The company states that today’s connectivity and compute constructs are based on legacy networks that are largely closed and monolithic. This fixed hardware can no longer scale efficiently and economically to support 5G service-oriented applications. The software-defined SoC is intended to replace existing wireless and legacy networks with edge components that can be used to build 5G spectrum private wireless networks, the networking equivalent of a private clouds. The AI portion allows for processing massive amounts of data coming in from a variety of feeds and enabling real-time processing at the edge rather than sending it back to a data center. EdgeQ will deliver a converged 5G and AI silicon platform that is open and software programmable for both devices and edge infrastructure. By introducing open programmability to the baseband, EdgeQ provides a new software-driven development model for OEMs and operators that can support existing cellular protocols, such as 4G, 5G and beyond. “By building 5G and AI hardware in a newly imaginative, software-friendly manner, we empower and inspire customers with an open and programmable platform that is adaptable, configurable, and economical for 5G-based applications,” Ravuri said. Related content news High-bandwidth memory nearly sold out until 2026 While it might be tempting to blame Nvidia for the shortage of HBM, it’s not alone in driving high-performance computing and demand for the memory HPC requires. By Andy Patrizio May 13, 2024 3 mins CPUs and Processors High-Performance Computing Data Center news CHIPS Act to fund $285 million for semiconductor digital twins Plans call for building an institute to develop digital twins for semiconductor manufacturing and share resources among chip developers. By Andy Patrizio May 10, 2024 3 mins CPUs and Processors Data Center news HPE launches storage system for HPC and AI clusters The HPE Cray Storage Systems C500 is tuned to avoid I/O bottlenecks and offers a lower entry price than Cray systems designed for top supercomputers. By Andy Patrizio May 07, 2024 3 mins Supercomputers Enterprise Storage Data Center news Lenovo ships all-AMD AI systems New systems are designed to support generative AI and on-prem Azure. By Andy Patrizio Apr 30, 2024 3 mins CPUs and Processors Data Center PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe