Beyond the Bottleneck: AI Cluster Networking Report 2026

AI data centers are entering a new phase of scale, where innovative approaches to network design, performance, and efficiency will determine how much value AI infrastructure can actually deliver.

As models grow larger and traffic patterns become more complex, traditional benchmarks and component-level testing fall short of exposing system-level behavior. Data centers running at 800G today and moving toward 1.6T and 3.2T demand a system-level approach that emulates real-world AI workloads and network behaviors.

In Beyond the Bottleneck: AI Cluster Networking Report 2026, you’ll learn about industry investment trends, emerging interconnect technologies, and the growing role of AI workload emulation in validating performance at scale. The report shows how teams are shifting from brute-force expansion to smarter optimization across compute, interconnects, and power.

Download the report to see how leading organizations are validating AI cluster networks as scale and speed increase.

What you’ll learn:

• Where AI cluster networks fail as scale and speed increase
• Why real-world AI workload emulation is essential for validation
• How 800G, 1.6T, and Ultra Ethernet impact future AI architectures

Download the report to see where the industry is headed and learn how system-level validation and AI workload emulation can help you optimize performance, improve efficiency, and scale AI data centers with confidence.