Everything on Infrastructure Engineering

Synchronous AI training workloads invalidate traditional statistical multiplexing, requiring networks to be engineered around worst-case P100 tail latency rather than average throughput.

Impact: Organizations adopting deterministic networking frameworks will eliminate cluster-wide stalls, reducing training downtime by orders of magnitude and accelerating time-to-market for frontier models.

— from Scaling AI Infrastructure: Network Reliability & Open Standards · OpenAI Podcast· May 06, 2026