RICHARDSON, Texas, Oct. 02, 2024 (GLOBE NEWSWIRE) -- Mavenir, the cloud-native network infrastructure provider building the future of networks, has won the Leading Lights Network Energy Efficiency Award for its Energy-Efficient 5G User Plane Function (UPF) solution.
Delivering substantial energy savings, operational efficiency, and enhanced performance for its mobile network operator customers, Mavenir has demonstrated remarkable success with its UPF solution. With a significant 40% power saving even under the most demanding conditions, such as a 100% traffic load, this impressive efficiency is due in part to Mavenir's utilization of NVIDIA ASAP2 Accelerated Switching & Packet Processing™ technology, which allows Mavenir to accelerate the UPF- data plane on NVIDIA solutions and plays a pivotal role in conserving power. Leveraging Intel Infrastructure Power Manager functionality further enhances power savings, reaching up to 62% during 50% traffic load and idle load scenarios.
Substantial innovation and technological advancements can be realized when industry leaders and cutting-edge technologies come together. Mavenir's cloud-native architecture seamlessly integrates with 4th Gen Intel Xeon Scalable Processors and NVIDIA ConnectX®-6 Dx SmartNIC acceleration technology. This powerful combination allows customers to enjoy the dual benefits of enhanced power efficiency and high-performance packet processing.
“We have not only demonstrated significant energy savings and performance improvements for 5G core networks but have also set a new standard for energy-efficient network infrastructure,” said Ashok Khuntia, President, Core Networks, Mavenir. “This award underscores the value of strategic collaborations and the integration of our ‘green by design’ advanced technologies in driving industry-wide progress and sustainability.”
Mavenir's solution also enables a small footprint UPF at the edge, reducing latency, improving local data processing, and minimizing operational costs. The innovative architecture, coupled with advanced technologies, ensures that Mavenir's customers can achieve significant energy savings and operational efficiencies.
The Leading Light Network Energy Efficiency Award is given to the company that has helped a network operator best improve the energy efficiency of its networks by retiring or consolidating infrastructure, using modern software and equipment, adopting more data-driven operations and more. The Leading Lights Awards is Light Reading's flagship awards program, now in its 20th year. It recognizes the top companies and their executives for outstanding achievements in the global communications industry, presenting an exceptional snapshot of the technology, applications, services and innovation that help telecom, cable and cloud providers stand out.
Notes to the Editor:
Light Reading's Leading Lights 2024: The Winners
Solution Brief: Mavenir’s User Plane Function (UPF): https://www.mavenir.com/resources/mavenirs-user-plane-function-upf/
Solution Brief: Mavenir Maximizes Network Energy Efficiency With 4th Gen Intel® Xeon® Scalable Processors for 5G Core UPF Deployments
Converged-Packet-Core_Solution-Brief_Mavenir-Intel-SPR.pdf
Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.
About Mavenir
Mavenir is building the future of networks today with cloud-native, AI-enabled solutions which are green by design, empowering operators to realize the benefits of 5G and achieve intelligent, automated, programmable networks. As the pioneer of Open RAN and a proven industry disruptor, Mavenir’s award-winning solutions are delivering automation and monetization across mobile networks globally, accelerating software network transformation for 300+ Communications Service Providers in over 120 countries, which serve more than 50% of the world’s subscribers. For more information, please visit www.mavenir.com
Mavenir PR Contacts:
Emmanuela Spiteri
PR@mavenir.com
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/37c62051-8f34-4fa9-b7f6-657fc20d7ff1
