GPU scarcity is real. Waste is optional.
Optimize the resources and cost at the cluster, node, and workload level.
GPU requests over time
GPU optimization
DevZero continuously analyzes real-time GPU allocation and usage across your Kubernetes clusters, automatically identifying idle capacity and enforcing policy-driven controls — without disrupting active training or inference jobs.
Stop paying for idle GPUs
GPUs are expensive, scarce, and frequently over-provisioned for AI and ML workloads. Teams conservatively allocate resources, leaving capacity unused between jobs or during traffic lulls. The result? GPU spend driven by fear and guesswork, not utilization.
How it works
DevZero continuously monitors GPU allocation and actual usage across Kubernetes clusters. The system identifies three key waste patterns: ML training jobs that complete and leave GPUs idle, AI inference endpoints with warm pools consuming capacity during low traffic, and interactive notebooks left running after work ends.
Policy-driven management
You set the rules, DevZero executes them. Define allocation duration, cleanup triggers, and which workloads can access GPU resources at the cluster, namespace, or workload level.
GPU requests over time
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
