developer.nvidia.com
2026-05-28
NVIDIA Developer
The cold-start problem
In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However, cold-starting inference workloads on Kubernetes can take several minutes. During that time, GPUs are allocated but idle, generating no tokens and serving no requests.
This delay increases the risk of service level agreement (SLA) violations during t