AI Replicas Optimization
Your AI workloads run in bursts. Their Replicas run all the time.
ScaleOps autonomously manages minimum replica counts, scaling thresholds, and scaling triggers based on how your AI workloads actually behave. Reduce GPU waste during low demand and scale ahead of peaks before they hit.
Why Standard Autoscaling Fails AI Workloads
Static Replica Count Wastes GPU Capacity
Minimum replicas are set for peak demand and rarely adjusted. Workloads keep GPU capacity running through off-hours and low-traffic periods, paying for replicas that serve no requests.
Generic Triggers Miss Inference Signals
CPU utilization is the wrong signal for inference workloads. GPU utilization, KV cache size, and request queue are ignored, so scale-ups arrive too late or not at all.
Cold Starts Force Replicas to Stay On
Scaling replicas down risks slow recovery when traffic returns. To avoid cold start delays, teams keep minimum replicas higher than needed, paying for capacity that sits idle most of the time.
Autonomous Replica Scaling
GPU inference workloads take minutes to cold-start, not seconds. Reacting to a traffic spike is already too late. ScaleOps manages minimum replicas ahead of demand, scaling up before traffic arrives, scaling back down during low-demand periods to reclaim idle GPU capacity. For eligible workloads, it supports scale to zero.
Inference-Aware Scaling Signals
CPU utilization doesn’t reflect inference load. Scaling on it means your replicas respond to the wrong thing, or don’t respond at all. ScaleOps automatically identifies the metric that actually represents demand for each workload, whether that’s a GPU signal or an application-level indicator, and uses it to drive scaling decisions.
Maximize GPU Utilization
Autonomous Workload Classification
ScaleOps detects whether a workload is real-time, near-real-time, or batch and its SLO requirements based on actual workload and application signals, and applies the matching optimization policy. No labels required. No manual policy assignment.
Cloud Resource Management Reinvented
Boost Performance & Reliability
Ensure consistent performance and uptime, even in the most dynamic environments.
Free Your Engineers
Eliminate repeated manual tuning forever, allowing you to focus on innovation.
Cut Costs by 80%
Pay only for the cloud resources you need without compromising performance.
Instant Value with Seamless Automation