Category Archives AI

The Amazon Web Services (AWS) Breaking Barriers for Agentic Networks Hackathon in partnership with Telecom Infra Project brought together 377 participants across 68 projects to explore the role of agentic AI in solving challenges and capturing new opportunities in the telecom industry. 45 in-person teams attended the hackathon at Dogpatch Labs in Dublin, Ireland, while others […]

Ultra Ethernet is here. With UE 1.0 released, the focus shifts to testing and compliance. Learn how the first public UET test and evolving assurance approaches are enabling performance, interoperability, future-ready infrastructure for AI and HPC networks. After intense and dedicated work, the Ultra Ethernet Consortium (UEC) has released its highly anticipated UE Specification 1.0 to meet workload requirements […]

Network Infrastructure as a Service provides AI opportunities for telecom providers to build AI-capable infrastructure leveraging their investments in 5G, fiber, and edge computing, and deliver multitenant, scalable, and secure networking and hosting solutions. The race to trial, invest in, and deploy AI-powered solutions is on, upending market dynamics across a range of sectors. Worldwide […]

Major network AI advancements for increasing data center scale and reducing energy consumption were on display at OFC 2025 as cutting-edge test solutions proved ready to validate network infrastructures and power high-speed performance. This year Optical Fiber Communications Conference (OFC) celebrated 50 years of innovation in optical networking and communications as more than 17,000 attendees from 83 […]

The UEC Stack will mark a major evolution in Ethernet, integrating scalability, low latency, and congestion control for AI and HPC data centers. However, traditional testing won’t be enough. Learn why new assurance models, multi-KPI validation, and real-world traffic modeling will be essential for success—and what effective testing strategies involve. Significant leap forward in networking […]

AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. Learn why efficiency and resource optimization are essential for monetizing AI infrastructure investments. With AI models now spanning tens of thousands of GPUs, faster and […]

In the dynamic realm of data centers, AI is setting new benchmarks. A New Frontier for Data Centers AI models demand unprecedented bandwidth, driving data centers to transition from 400G to 800G, and eventually to 1.6T speeds. This rapid evolution is crucial for meeting the massive data demands. AI workloads differ significantly from traditional data […]

The rapid evolving growth of AI is impacting hyperscaler data centers, as high volumes of traffic and intensive processing requirements push the limits of current networks. Data center architectures and the high-speed networks they rely on must be reevaluated, along with their testing strategies, to ensure reliable performance now and into the future. Generative AI […]

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