Link flaps sound harmless - but in AI data centers, they’re anything but.
In this #brainsnack, James F. Merchant breaks down:
✅ What link flaps are.
✅ Why link flaps are so critical for AI environments.
✅ What an acceptable link flap rate is.
✅ What causes link flaps.
✅ Why transceiver interoperability has reached a completely new level.
One key takeaway:
In large AI training jobs, one unstable link can stall or even crash an entire large model training job. That’s not just annoying - it’s very expensive.
This #brainsnack video also dives into often-overlooked causes, especially the role of transceiver interoperability when GPU, NICs and switches come from different vendors.
Short watch. Big impact.
👇 Let us know what surprised you most.
0:00 - Intro
0:16 - What Are Link Flaps and Why They Matter
1:05 - Why Link Flaps Are Critical in AI Data Centers
2:59 - Acceptable Link Flap Rates: Traditional vs. AI DCs
3:46 - Common Causes of Link Flaps
4:28 - Transceiver Interoperability and Link Stability
#AIdatacenters #OpticalNetworking #DataCenterDesign #Transceivers #NetworkReliability
