It enables on-premises AI, operators’ own SLMs, policy-governed access to frontier models and zero trust AI security on one token charging service assurance platform
Mavenir has developed an Integrated AI Platform in collaboration with Red Hat designed to allow network operators “to monetize AI the way they already monetize data”.
By that they mean through token-based consumption plans, via customers’ phone bills, with control over pricing, service-level agreements (SLAs) and the models involved in every interaction.
Mavenir’s Integrated AI Platform will operate across three models: operator-branded AI services for their own subscribers; as the AI infrastructure layer in operators’ AI grid deployments; and as a managed AI platform through which operators can offer AI capabilities to enterprises on a token-based consumption basis.
Mavenir’s Integrated AI Platform is built around Red Hat AI to run AI capabilities on Kubernetes infrastructure which in turn relies on Red Hat OpenShift.
According to Mavenir, the platform means operators can use on-premises models and custom-built small language models ( SLMs ) for a range of use cases. They also benefit from connectivity, governed by policy, to frontier models tasks that need to reason.
Operators control which model handles which request, who pays for it and how it is billed.
There is a lot more detail here.
“Operators are watching AI revenues flow to hyperscalers and third-party platforms while they provide the connectivity that makes it all possible. This changes today. The Integrated AI Platform dev eloped in collaboration between Mavenir and Red Hat gives operators the infrastructure to become AI service providers in their own right,” says Bejoy Pankajakshan, Chief Technology and Strategy Officer at Mavenir.
He continues, “Operators gain sovereign control over models and data, token-accurate monetization that integrates with their existing BSS, and the service assurance to back their own managed AI services with contractual SLAs. Whether operators are launching subscriber AI services, building out their AI g rid infrastructure, or offering AI capabilities to enterprise customers on a consumption basis, the platform provides the commercial and operational controls to do it at carrier scale.”
Chris Wright, CTO and SVP, Global Engineering, at Red Hat, adds, “…network operators…require high availability, data sovereignty and carrier-grade reliability to scale AI across millions of subscribers. Working with Mavenir, we’re delivering an integrated solution supported on the Kubernetes-native foundation powered by Red Hat AI, which brings MLOps, vLLM inference and AgentOps capabilities.
“This hybrid architecture allows operators to run sovereign on-premises models for the bulk of their traffic and selectively connect to frontier models for tasks that require it, all through a single policy and billing framework. Together, we give operators a path from AI experimentation to AI monetization without rebuilding their operations model.”
