The Impact of AI Workloads on Modern Data Center Networks

A new era in the age of AI has begun. Rapidly increasing AI workloads, together with edge computing and cloud-based 5G networks, are putting extreme demands on modern data center networks. AI workloads are driving an unprecedented need for low latency, high bandwidth connectivity between servers, storage, and the GPUs essential for AI training and inferencing. Watch this webinar to examine the impact of AI workloads, explain why adoption of high-speed Ethernet in data centers is surging, and discuss how to ensure high-speed Ethernet infrastructure will meet these new demands. The webinar covers the following topics: • AI workload requirements and the impact on modern data center networking latency and bandwidth • Different network design options for AI workloads • AI workload characteristics • Challenges for supporting new requirements from AI workloads • Role of high-speed Ethernet technologies in addressing new needs and challenges • An update on 800G/1.6T adoption • Testing strategies and solutions for validating high-speed Ethernet and related benefits • High-speed migration in AI networks