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 […]
Category Archives AI
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 […]
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 […]
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 […]
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/ML applications are driving new levels of high-speed Ethernet complexity for hyperscale data centers. Why emulation and validation tests are essential for ensuring new technologies perform as expected. Rapid cloud migration was a boon for innovation in high-speed Ethernet (HSE) connectivity. Now, generative AI applications are poised to drive unprecedented levels of demand from their […]
AI workloads are driving an unprecedented demand for low latency and high bandwidth connectivity between servers, storage, and GPUs. To successfully support AI’s rapid growth, data centers and the high-speed networks they rely on must transform intelligently along a path filled with uncertainties. Artificial Intelligence (AI) is the hottest topic of the day. It screams […]
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 […]
ChatGPT represents the tip of an iceberg for AI performance, scalability, and security challenges accompanying the next wave of internet experiences. For AI to be successful, best practices to assure AI use cases must be in place from the beginning, including an advanced testing strategy. OpenAI’s launch of ChatGPT in November swept the web by […]
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