Resources

Meeting the Challenges of the AI-Enabled Datacenter​:
Reduce Job Completion Time in AI Clusters

Distributed Disaggregated Chassis (DDC) as an Effective Interconnect for Large AI Compute Clusters In this white paper, Distributed Disaggregated Chassis (DDC) as an Effective Interconnect for Large AI Compute Clusters, we explore the many networking alternatives offered for interconnecting AI clusters, examining pros and cons and forced tradeoffs for the end user. DDC appears to meet all the challenges of the AI-enabled data center infrastructure despite, and perhaps because of, being primarily designed for a completely different networking use case. DDC guarantees lossless connectivity for a large-scale server array running high-bandwidth workloads free of flow discrimination and with minimal impact from network failures, all in a traditional and easy-to- manage Clos-like topology.

In this white paper you will learn about:

  • Networking challenges for AI Compute Server Arrays
  • Networking solutions for AI Clusters
  • How DDC meets the challenges facing an AI-enabled Data Center Infrastructure

Download the White Paper