That is the challenge in AI infrastructure, especially when workloads become more dynamic, concurrent and unpredictable. Agentic AI does not behave like a simple sequential storage workload. Multiple agents may read context, update KV-cache, retrieve embeddings, generate new data and access previous states at the same time. That creates changing I/O patterns and resource contention. In this environment, predictable latency can become just as important as maximum bandwidth. Read more [Picture source: TOP-electronics on linkedin.com]
