Manage Networks Efficiently and Deploy New Services
Webscale architectures and automation are the keys to unlocking digital transformation and realizing the potential of 5G. CSPs need true cloud-native software designed to optimize underlying cloud resources and leverage tools that offer closed-loop automation.
The MAVscale portfolio supports wide-scale automation and utilizes Artificial Intelligence (AI) and Machine Learning (ML) to manage network resources and deploy new services efficiently. These offerings can dynamically manage network resources to support on-demand network slicing and meet SLA requirements for new revenue-generating use cases.
MAVscale delivers Mavenir’s vision of a single, multi-generational, automated network, specifically tuned to provide telecom capabilities, running on any cloud. Platform logic is decoupled from applications, allowing for fast, software-based deployment of new services.
MAVscale provides deployment flexibility enabling portions of the network such as IMS and core messaging to run in a public cloud while RAN runs in a private cloud. Leveraging the public cloud moves to process closer to the customer, reducing latency and lowering transport costs.
Dynamic allocation of network resources becomes a reality!
Mavenir Hastens Open RAN Adoption with HCL Deal
15 October 2021
Mavenir speeding the move to open radio access networks in collaboration with HCL.
EEC Teams Up with Four Global Innovation Leaders, Including Cisco Systems, Mavenir Systems, 5GCT, and Planet Com to Arm Thai Workers with Essential Digital Skills for the Future
14 October 2021
Mavenir, one of 4 global innovation leaders contributing to the 5G & Digital Talent Development in Thailand's Eastern Economic Corridor (EEC).
Mavenir and HCL Collaborate on Integration and Delivery of O-RAN Compliant Radios
14 October 2021
Mavenir and HCL collaborate to help accelerate the market availability of O-RAN split 7.2 compliant Remote Radiohead Units (RRUs) while establishing a business model to meet the growing demand and evolving requirements for O-RAN RRUs.