DevZero enables seamless microVM migration between nodes—with no restarts, no dropped connections, and no impact to running workloads. Whether you're rebalancing compute, draining nodes for upgrades, or optimizing cost, your applications keep running uninterrupted.

It's the foundation for resilient infrastructure—and now, even your most demanding AI jobs stay live, adaptive, and continuously available.

DevZero dynamically selects the optimal node instance type for your workloads—maximizing bin packing efficiency and improving overall utilization. By analyzing workload behavior in real time, our system chooses the right CPU/memory profile to meet SLOs while minimizing resource waste.

The result? Higher density per node, fewer underutilized instances, and significant savings—without sacrificing performance. It’s automatic infrastructure efficiency, purpose-built for engineers who care about cost and scale.

DevZero continuously adjusts CPU and memory allocations for pods and containers—without restarts. This ensures your services scale responsively to actual demand, reducing over-provisioning and idle costs while maintaining performance. Unlike static resource requests, DevZero’s automation keeps workloads tightly aligned with usage, unlocking significant efficiency gains.

DevZero gives you the ability to run workloads inside a dedicated microVM with its own kernel, backed by KVM virtualization. This architecture isolates CPU, memory, storage, and network at the VM level - significantly reducing the blast radius of any compromise. It mitigates entire classes of Kubernetes vulnerabilities tied to hostPath, hostNetwork, and hostPID, while preserving the agility and speed of containers.

Now, even your AI-generated code runs in true isolation - secure by default, without the overhead. Whether it's experimental pipelines or production inference, every workload is shielded from privilege escalation risks.