First network assurance vendor to capture network data up to 400 Gbps on a single server, leveraging NVIDIA BlueField-3 to deliver real-time analytics at a fraction of the cost
RADCOM Ltd., a leader in next-generation intelligent assurance, announced availability of its High-Capacity User Analytics solution. The solution enables telecom operators to process massive volumes of traffic across the entire network at the edge, reducing costs while unlocking real-time, customer-level insights.
“We are excited to launch our high-capacity user analytics solution already deployed in customer labs,” said Benny Eppstein, CEO of RADCOM. “As AI continues to transform the telecom landscape, operators are under immense pressure to optimize costs while harnessing massive volumes of data. RADCOM’s new solution empowers operators to turn complex user data into actionable insights, driving consolidation and smarter decision-making across the network.”
The solution features data capture and analysis at bandwidth capacity of up to 400 Gbps on a single commercial off-the-shelf server. Utilizing advanced networking platforms from NVIDIA for streamlined data capture, and aggregation, the solution enables faster throughput processing and lowers total cost of ownership while analyzing 100% of traffic. This is due to a reduction in the number of probes needed, or a combination of multiple probes in comparison to appliance-based solutions. By supporting complex mobile network architectures without needing to install inline devices, operators gain complete visibility and insights.
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The news follows RADCOM’s previously announced integration of NVIDIA BlueField-3 DPU to develop its next-generation, high-capacity user plane data capture solutions. By offloading intensive network functions from the CPU, BlueField-3 enhances performance and efficiency—enabling real-time visibility into increasing data flows. RADCOM has already seen encouraging traction with multiple customers advancing from interest to lab deployments – reinforcing the market need to enable real-time customer insights from ever-increasing data flows.
Field trials demonstrate up to 75% lower operational cost, when compared against traditional network probes (both software and appliance) in identical environments. The main cost factors were attributed to the licensing of multiple components, cost of data processing and storage, and energy spend.
The solution supports multiple network and business applications, powers closed-loop automation and leverages advanced AI-driven analytics to personalize service and elevate quality. Its highly efficient architecture processes massive data traffic, which is essential for large-scale AI-driven network analysis, going beyond today’s limited sampling approaches to using holistic data for observability and analytics. Additionally, it paves the way to cutting-edge agentic AI and generative AI powered applications, enabling use cases such as customer intent analysis to enhance experiences in 5G and beyond.
Source: PRNewswire