Kubernetes Cost optimization
Optimize the resources and cost at the cluster, node, and workload level.
Total CPU Capacity
1,245.69 cores
Total Memory Capacity
4,816.72 GiBs
Total GPU Capacity
22 devices
Current Cost: $71.12
Usage Cost: $4.96
Requests
1,002.78 vCPU
Actually Used
58.16 vCPU
Underutilization
Requests
3,356.95 GiB
Actually Used
751.78 GiB
Underutilization
Requests
22.15 devices
Actually Used
0.49 device
Underutilization
Your cloud bill, finally under control.
DevZero continuously analyzes real-time GPU allocation and usage across your Kubernetes clusters, automatically identifying idle capacity, enforcing policy-driven controls, and reclaiming unused resources. By optimizing at the workload level and integrating with existing autoscalers, it ensures GPUs are efficiently utilized without disrupting active training or inference jobs.
Intelligent workload rightsizing
Traditional Kubernetes requires manual resource requests and limits. You overprovision for peak loads, then pay for idle capacity 80% of the time. DevZero fixes this with live rightsizing no pod restarts, no downtime.
How it works
DevZero uses XGBoost forecasting to predict future resource needs, avoiding inflated baselines for workloads that spike at startup. Optimization modes can be set per cluster, node pool, or workload: Statistical (steady, low-churn adjustments) or Predictive (ML-driven aggressive cost reduction).
Built-in safety
The platform monitors OOM errors, pod failures, and memory pressure, ensuring stability. Resources scale up during spikes and down when idle instantly.
Live Rightsizing
● ActiveProjected annual savings
$187,400
No restarts · No downtime
Ready to get started?
How it works
DevZero continuously analyzes real-time GPU allocation and usage across your Kubernetes clusters, automatically identifying idle capacity, enforcing policy-driven controls, and reclaiming unused resources. By optimizing at the workload level and integrating with existing autoscalers, it ensures GPUs are efficiently utilized without disrupting active training or inference jobs.
3 simple steps
Install a read-only operator
Select your cloud provider:
$ curl -XPOST -H 'Authorization: Bearer ....' \
-H "X-Kube-Context-Name: $(kubectl config current-context)" \
"https://dakr.devzero.io/dakr/installer-manifest?cluster-provider=AWS" \
| kubectl apply -f -
Frequently asked questions
What our customers say
DevZero slashed cloud costs by 60% in 30 days, — uncovering massive waste in seconds.
Lauren Glass Mullins · CEO
With DevZero, the team is now focused on product development instead of troubleshooting infrastructure problems caused by resource constraints.
Ashish Kolhe · Head of Engineering
