InfoQ panel focuses on infrastructure bottlenecks in production AI

The panel frames AI infrastructure as a reliability challenge rather than a model-building problem. Teams can build prototypes quickly, but production systems still depend on databases, scaling plans, and architectural decisions that hold under constant load.

That distinction matters for engineering leaders. As AI features become core product surfaces, outages and latency problems are likely to come from the surrounding platform as much as from the model endpoint.