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VIAVI and Broadcom Expand RIC Testbed as a Service

Viavi Solutions announced advanced and additional capabilities of a joint Testbed as a Service (TBaaS) with VMware, recently acquired by Broadcom, which combines the VIAVI TeraVM RIC Test with the VMware RAN Intelligent Controller (RIC) to create a Digital Twin for the evaluation and performance benchmarking of applications.

TBaaS has been validated with multiple app vendors and consortiums, including at the i14y Lab, underscoring expanding industry demand due to its ability to speed deployment and agility, both of which are increasingly urgent in today’s network environments. The capabilities will be showcased at Mobile World Congress in Barcelona, February 26-29.

Digital Twin modeling, based on AI and enabling new predictive capabilities, is fast emerging as a vital solution to fortify increasingly complex networks. By creating a virtual model of a network in the lab, service providers can more quickly and effectively model network behaviors and disruptions. TBaaS provides a cloud-based Digital Twin via a set of tools that enable communication service providers (CSPs) to streamline evaluation of rApps and xApps prior to selection of partners, continuous CI/CD efforts, deployment, and secure operations in the network.

With TBaaS from VIAVI and VMware, RIC applications address the need for simulations using realistic data. VIAVI provides geolocation intelligence and xApps/rApps, with real RAN data over the VMware RIC platform. This allows a CSP to capture information once and emulate it with multiple other applications, reducing the overhead of repeatedly capturing, processing and transmitting data. In addition, the RAN Scenario Generator within the TeraVM RIC Test allows developers and operators to model scenarios in the lab, either prior to launch or in environments where large volumes of real data are unavailable. Data captured can also be used for training AI/ML models.

“We’re collaborating with VIAVI to make sure that CSPs can benefit in many ways from the power of test automation and enablement,” said Lakshmi Mandyam, Vice President, Product Management and Partner Ecosystems, Software-Defined Edge Division, Broadcom. “By integrating the VMware RIC with VIAVI’s TeraVM RIC Test solution and making it available as a service, we are enabling an entirely new approach in RIC App development, CI/CD test automation and benchmarking. Our combined efforts help to speed CSPs network modernization and monetization initiatives.”

Ian Langley, Senior Vice President and General Manager, Wireless Business, VIAVI, said, “Our complementary portfolios are focused on demystifying the complex environments associated with Digital Twin, and together they provide a vast array of benefits that will help transform and accelerate new network capabilities.”

VMware is focused on attracting and collaborating with a vibrant ecosystem of partners to help its operator customers adopt Open RAN with complete confidence with its VMware Telco Cloud Platform and VMware Service Management and Orchestration (SMO) framework for network programmability and optimization. VIAVI has the most comprehensive portfolio of Open RAN test solutions in the industry and plays a leading role in defining test processes in the O-RAN ALLIANCE and Telecom Infra Project (TIP).

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VIAVI and Broadcom Expand RIC Testbed as a Service

Viavi Solutions announced advanced and additional capabilities of a joint Testbed as a Service (TBaaS) with VMware, recently acquired by Broadcom, which combines the VIAVI TeraVM RIC Test with the VMware RAN Intelligent Controller (RIC) to create a Digital Twin for the evaluation and performance benchmarking of applications.

TBaaS has been validated with multiple app vendors and consortiums, including at the i14y Lab, underscoring expanding industry demand due to its ability to speed deployment and agility, both of which are increasingly urgent in today’s network environments. The capabilities will be showcased at Mobile World Congress in Barcelona, February 26-29.

Digital Twin modeling, based on AI and enabling new predictive capabilities, is fast emerging as a vital solution to fortify increasingly complex networks. By creating a virtual model of a network in the lab, service providers can more quickly and effectively model network behaviors and disruptions. TBaaS provides a cloud-based Digital Twin via a set of tools that enable communication service providers (CSPs) to streamline evaluation of rApps and xApps prior to selection of partners, continuous CI/CD efforts, deployment, and secure operations in the network.

With TBaaS from VIAVI and VMware, RIC applications address the need for simulations using realistic data. VIAVI provides geolocation intelligence and xApps/rApps, with real RAN data over the VMware RIC platform. This allows a CSP to capture information once and emulate it with multiple other applications, reducing the overhead of repeatedly capturing, processing and transmitting data. In addition, the RAN Scenario Generator within the TeraVM RIC Test allows developers and operators to model scenarios in the lab, either prior to launch or in environments where large volumes of real data are unavailable. Data captured can also be used for training AI/ML models.

“We’re collaborating with VIAVI to make sure that CSPs can benefit in many ways from the power of test automation and enablement,” said Lakshmi Mandyam, Vice President, Product Management and Partner Ecosystems, Software-Defined Edge Division, Broadcom. “By integrating the VMware RIC with VIAVI’s TeraVM RIC Test solution and making it available as a service, we are enabling an entirely new approach in RIC App development, CI/CD test automation and benchmarking. Our combined efforts help to speed CSPs network modernization and monetization initiatives.”

Ian Langley, Senior Vice President and General Manager, Wireless Business, VIAVI, said, “Our complementary portfolios are focused on demystifying the complex environments associated with Digital Twin, and together they provide a vast array of benefits that will help transform and accelerate new network capabilities.”

VMware is focused on attracting and collaborating with a vibrant ecosystem of partners to help its operator customers adopt Open RAN with complete confidence with its VMware Telco Cloud Platform and VMware Service Management and Orchestration (SMO) framework for network programmability and optimization. VIAVI has the most comprehensive portfolio of Open RAN test solutions in the industry and plays a leading role in defining test processes in the O-RAN ALLIANCE and Telecom Infra Project (TIP).

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.