The note says AI workloads are bursty. They spawn parallel tool calls, pull multi‑GB model weights into RAM, and endure long cold starts (e.g., vLLM, SGLang). Companies wrestle with a fragmented GPU market and poor peak GPU utilization. To hit latency, compliance, and cost targets they adopt multi‑region/multi‑cloud setups or partner with serverless compute.










