MWC26: Vodafone and Cirrus360 – Setting the Blueprint for AI-Native Open RAN Success

Cirrus360’s Gabriel platform leverages a Declarative Digital Twin to provide operators with the foresight needed to identify hardware and system bottlenecks, including CPU spikes, cache exhaustion, and memory limits, long before they manifest in the field. Beyond hardware monitoring, the platform simulates real-world network environments, forecasting customer traffic trends and potential latency at specific sites prior to any physical rollout.

By enabling the optimization of hardware configurations and the fine-tuning of software within a virtual sandbox, the system ensures seamless synchronization between silicon chips and supporting equipment. This pre-validation process is particularly critical for Open RAN deployments, where the primary challenge lies in harmonizing hardware and software sourced from a diverse ecosystem of different vendors.

We are seeing that the adoption of platforms such as Gabriel is enabling telco operators to shift from reactive to predictive maintenance models, fundamentally changing how network health is managed. By using declarative digital twins, operators can identify specific hardware triggers, such as L3 cache exhaustion or CPU interrupt spikes, that typically remain invisible to standard monitoring tools until a system crash occurs. This foresight enables proactive resource management, enabling engineers to adjust workloads and address system limits within a virtual environment long before physical hardware reaches a critical breaking point in the field.

Beyond maintenance, digital twins significantly reduce truck roll costs by providing a pre-validation process for physical site deployments. Instead of applying generic configurations to every tower, these virtual models simulate real-world traffic trends and latency for specific geographic locations, allowing for a measure twice, cut once approach. Through synthetic stress testing, operators can subject a site to 5G traffic surges within a sandbox to observe how hardware performs under pressure, ensuring that the eventual physical rollout is fully optimized for its unique environment from day one.

This technology is particularly vital for solving the complexities of the Open RAN (O-RAN) ecosystem, where the primary challenge is the mix-and-match integration of multiple vendors. Because O-RAN involves harmonizing software, servers, and radios from a diverse range of providers, the risk of synchronization errors can increase. A digital twin acts as a virtual integration lab, ensuring that software and silicon from different sources are perfectly synchronized before they are ever deployed. This pre-validation in a virtual sandbox mitigates the risk of performance degradation, providing an agile way to harmonize a multi-vendor ecosystem.

Digital twins can empower operators to achieve precision in power and performance tuning, which is critical given that energy consumption is a major operational expense. By modeling the intricate relationship between silicon and software, engineers can fine-tune how code interacts with the underlying hardware to implement aggressive power-saving modes. Because these outcomes are verified in the twin first, operators can maximize energy efficiency without compromising the Quality of Service (QoS), ensuring that the network remains both high-performing and cost-effective.

From our perspective, Vodafone can gain a competitive advantage by using Cirrus360’s Gabriel platform and Declarative Digital Twin technology to accelerate its Open RAN deployment while reducing operational risk. By creating a dynamic virtual replica of 5G network sites that uses AI Reasoning, Vodafone can predict hardware stress points, such as CPU and memory constraints, and simulate traffic performance before a single physical component is installed.

This shift from reactive testing to proactive, rule-based simulation enables Vodafone to evaluate six to eight network configurations in a fraction of the traditional time, enabling a faster time-to-market for new services, optimized power consumption, and the flexible integration of multi-vendor hardware, which we see as a primary hurdle in the Open RAN landscape.