Fujitsu networking arm 1Finity launched a full-stack AI-native virtual radio access network (vRAN) solution.

Nvidia GPUs underpin the stack's infrastructure, which runs open vRAN software and O-RAN Alliance compliant radio units from the Japanese firm. 1Finity touted AI-centric servers from Quanta Cloud Technology (QCT) and Supermicro in support of the Nvidia AI Aerial platform, the chip giant's wireless network management platform offering of accelerated computing platforms, software, and services.

1Finity's stack also leverages a no-code platform from Aible, with Bridge by Armada providing multitenant orchestration, security, and billing for wide-scale compute deployments.

1Finity pitched its solution as a way for mobile network operators (MNOs) to offer a comprehensive portfolio of AI and RAN-based solutions, accelerating go-to-market timelines, and directly offering diverse service solutions to enterprise customers.

The stack also extends Nvidia's AI Aerial footprint in Japan, which has seen validation from the likes of SoftBank and NTT DoCoMo.

DoCoMo's 2023 deployment leveraged Fujitsu 5G-focused virtual compute unit (vCU) and virtual distributed unit (vDU) software on Wind River's distributed cloud platform. In other efforts prior to last year's 1Finity spin-out, Fujitsu supported vRAN research and development efforts for vendors like SoftBank and network test specialists Viavi Solutions.

“By enabling operators to deliver complete AI solutions – from infrastructure to applications – 1Finity is redefining how telecom networks create and capture value in the AI era," Patrik Eriksson, VP and head of mobile system business unit at 1Finity, noted in a statement.

“The telecommunications industry is undergoing a foundational shift as networks evolve into AI infrastructure,” Soma Velayutham, VP of AI and telecom at Nvidia, added. “By building its full-stack enterprise solution on the Nvidia AI Aerial platform, 1Finity is empowering MNOs with high-performance, software-defined AI-native infrastructure that seamlessly processes AI and RAN workloads. This is essential for operators looking to maximize compute utilization, deliver advanced capabilities, and unlock new revenue streams in the AI era.”