Red Hat, Inc., the world’s leading provider of open source solutions, has announced a collaboration with NVIDIA to deliver radio access network (RAN) deployments on industry-standard servers across hybrid and multicloud. From private datacenters to multiple public clouds to the network edge, Red Hat OpenShift, the industry’s leading enterprise Kubernetes platform, now supports NVIDIA converged accelerators and the NVIDIA Aerial™ SDK for software-defined 5G virtual radio access networks (vRAN) and enterprise AI applications. This delivers a composable infrastructure to customers, enabling them to better meet the data demands of compute-heavy applications for edge computing, private 5G, artificial intelligence (AI) and more, with greater flexibility and interoperability, risk mitigation and a faster return on investment.
A composable infrastructure helps to streamline resources and optimize existing IT environments by removing the need for specialized, space-consuming hardware and specialized software. NVIDIA GPUs, DPUs and converged accelerators, which combine a NVIDIA Ampere GPU with a NVIDIA BlueField-2 in a single, high performance package, can take the load off of traditional CPUs by disaggregating compute, storage and networking resources to process packets faster and with greater security measures by isolating infrastructure-heavy tasks.
With Red Hat support of NVIDIA converged accelerators and the NVIDIA Aerial™ SDK, customers can benefit from:
- Lower total cost of ownership (TCO), reducing overall systems costs associated with deploying and maintaining RAN and AI at scale;
- Greater acceleration of network deployments across the hybrid and multicloud, setting the stage for multi-tenancy and RAN-as-a-service;
- Composable infrastructure, which mitigates the need for specialized hardware, which, when combined with Red Hat Enterprise Linux, provides low latency and enhanced consistency;
- Connectivity for billions of devices, extending the reach of AI capabilities and applications to all devices at the edge;
- The acceleration of additional use cases including multi-access edge computing (MEC), autonomous vehicles, industrial and agricultural, by enabling AI and machine learning (ML) at the edge.
From AI/ML to edge computing and advanced software-defined architecture, emerging technologies are fueling the continued evolution of 5G. As a result, modern networks require a robust and collaborative ecosystem to deliver leading capabilities today while accelerating business transformation for future success. With support for NVIDIA GPUs and the NVIDIA Aerial™ SDK on Red Hat OpenShift, organizations can unlock the full potential of 5G-driven use cases across hybrid and multicloud environments and realize new services and applications at the edge for rapid transformation, all powered by open source innovation.
Honoré LaBourdette, vice president, Telco, Media, Entertainment & Edge Ecosystem, Red Hat
It’s imperative that service providers adopt a cloud-native infrastructure to meet the growing computing demands of 5G and edge computing. The compute performance of NVIDIA converged accelerators with Red Hat OpenShift enables companies to realize 5G RAN and AI applications in an optimal solution designed to tackle use cases of today and tomorrow.
Ronnie Vashista, senior vice president, Telecommunications, NVIDIA
Mavenir is building the future of networks and pioneering advanced technology. By adopting the NVIDIA GPU with Red Hat’s Kubernetes-driven open source technology to build our AI-on-5G solution, Mavenir’s integrated cloud-native Open vRAN solution will provide organizations across industries with clear data processing, analytics and seamless, cost-effective management and simplified operations with a unified view of a next-generation, secure private 5G network.
Bejoy Pankajakshan, executive vice president and chief technology & strategy officer, Mavenir
