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 data centers are brimming with traffic, relying heavily on high-speed Ethernet and back-end fabrics that must perform with low latency and close to zero packet loss to avoid the expensive impact of idle GPUs. A new approach to testing can significantly improve performance and resiliency by stress-testing these fabrics with complex AI traffic patterns […]
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 […]
We are in the midst of one of the most exciting and consequential moments for high-speed Ethernet (HSE) in decades. New annual impact report shares the latest trends, demand and developments shaping the data center networking and HSE market. Our long track record of testing work with network equipment manufacturers and service providers was historically […]
Cloud-native architectures, 5G Standalone, and open APIs are converging to define a new era of telecom. Explore strategies for delivering seamless user experiences and building monetization-ready networks. Service providers are ready to reap the business benefits of cloud-native infrastructures to realize more flexibility and higher performance. But they understand challenges lurk in the way of […]
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 […]
