Optimize the resources and cost at the cluster, node, and workload level.
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.
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.
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.
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.
Ready to get started?
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
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 -
Lauren Glass Mullins
personality pool
“We started applying DevZero’s recommendations on day 5, and within 24 hours our daily spend dropped by 30%. By day 30, we hit 60% total savings. That’s faster ROI than any other infrastructure investment we’ve made.”
Run a free assessment to identify overprovisioned workloads, idle capacity, and your potential savings, in minutes.