Designs are usually like fingerprints—unique for each company
Deep networking expertise is needed to build the fabric yourself
Project timelines are lengthy
Ordering errors cause delays
Design documentation becomes out of date with what’s deployed
Integration with existing enterprise
components is complex
Deviations from the design’s intent
are hard to spot
Identifying the root cause of
issues is difficult
Debugging requires deep network
and product expertise
Upgrades are infrequent due to
concerns something will break
Scaling fabric over time is so hard,
that it’s rarely accomplished
AI clusters are more complex and require tight integration of
networking, servers, and storage