Glossary
Technology evolves at a rapid-fire pace. That’s why we’ve built an easy-to-use glossary to help you better understand the terms, technologies and trends that impact your business.Scale-across
What is scale-across?
In AI infrastructure, scale-across refers to extending AI workloads, data and connectivity beyond a single cluster, campus or data center by interconnecting multiple sites through high-capacity transport networks.
Scale-across architecture enables organizations to distribute compute resources, share data and support AI operations across geographically separated locations.
Why is scale-across important?
As AI deployments grow, a single data center may not provide sufficient capacity, resiliency or geographic reach. Scale-across connectivity enables organizations to connect AI resources across multiple facilities while supporting business continuity, workload distribution and data accessibility.
However, extending AI infrastructure beyond a single location introduces additional challenges related to network performance, latency, synchronization and operational visibility.
Key considerations
- High-capacity data center interconnect (DCI) links
- End-to-end network performance across sites
- Latency and synchronization between locations
- Network resiliency and redundancy
- Visibility across distributed AI infrastructure
- Validation of transport and optical network performance
Learn more
Explore EXFO's solutions for data center interconnect, transport-network validation and high-capacity optical-network testing.