DevZero
Claim this toolContinuously optimize Kubernetes CPU and GPU allocation to reduce cloud spend and improve performance.
Free plan available, paid tiers aboveVisit WebsiteFreemiumVisit Website
Tracked since2026
The Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Automatically optimizes Kubernetes CPU and GPU allocation to reduce cloud costs.
- Provides real-time cost monitoring and identifies waste across clusters and workloads.
- Enables live migration and intelligent instance selection for maximum efficiency without performance compromise.
Pros
- Significant cost savings (30-80%) on Kubernetes cloud spend
- Automated optimization eliminates manual tuning and overprovisioning
- Improved performance and SLA compliance
- Granular visibility into infrastructure spend and waste
- Supports various cloud providers (AWS, GCP, Azure) and on-premise
Cons
- Specific benefits like dedicated support and advanced features are locked behind paid tiers
- Free tier has a limited duration (45 days) for platform access
- Pricing is per CPU, which might scale quickly for very large clusters
What is DevZero?
DevZero is a Kubernetes optimization platform designed to reduce cloud waste and lower costs for AI and compute workloads. It continuously optimizes CPU and GPU allocation in Kubernetes clusters, adjusting resources in real-time as workloads change. This eliminates the need for manual tuning and overprovisioning, addressing the structural inefficiency where Kubernetes prioritizes reliability over efficiency, often leading to significant unused compute resources.
The platform is built for engineers and organizations running large-scale Kubernetes environments, especially those with AI/ML, inferencing, and other compute-intensive workloads. By leveraging AI and automation, DevZero helps achieve substantial cost savings (30-80%), ensures SLA compliance, and frees up engineering teams from constant configuration tweaks. It provides granular cost visibility, intelligent instance selection, live migration capabilities, and smart GPU rightsizing to maximize efficiency and utilization across various cloud providers and on-premise setups.
Available on: Web
Preview
Key Features
- Continuous CPU and GPU allocation optimization
- Real-time cost monitoring by cluster, namespace, workload, and team
- Intelligent instance selection for optimal bin packing
- Live migration of running applications with zero downtime (CPU, GPU, memory, storage, network)
- Smart GPU rightsizing with granular visibility and optimization suggestions
- Workload optimization using AI to adjust CPU and memory without restarts
- Cost attribution for departments and data export for chargeback
- Audit logging
Pricing Plans
Pricing checked Sep 20, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 / month |
+3 moreShow less
|
| Scaling & Optimization | $7 / CPU per month |
+7 moreShow less
|
| Enterprise | Contact us for pricing |
+6 moreShow less
|
Is DevZero worth the price?
Good value
DevZero's pricing structure is fair for businesses looking to optimize Kubernetes costs.
The Free tier offers a generous 45-day platform access for monitoring, which is great for initial evaluation. The "Scaling & Optimization" tier at "$7 per CPU per month" is competitive for the value it provides in cost savings and performance improvements, especially for companies with significant Kubernetes deployments.
This pricing is best for mid-sized to large enterprises with substantial cloud infrastructure looking to reduce operational expenses.
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DevZero FAQ
How does DevZero help reduce cloud spend for AI workloads?
DevZero continuously optimizes CPU and GPU allocation in Kubernetes clusters, adjusting resources in real-time for AI and compute workloads. This automated process eliminates manual tuning and overprovisioning, leading to significant cost savings and improved performance for compute-intensive tasks.
Which teams benefit most from using DevZero?
DevZero is best suited for engineering teams and organizations managing large-scale Kubernetes environments, particularly those running AI/ML, inferencing, and other compute-intensive workloads. It helps these teams achieve substantial cost savings and frees them from constant configuration adjustments.
How does DevZero compare to Kubecost for Kubernetes cost optimization?
DevZero focuses on continuously optimizing CPU and GPU allocation to reduce cloud spend and improve performance, offering automated real-time adjustments. Kubecost primarily provides cost monitoring and allocation, while DevZero actively manages resource utilization to prevent overprovisioning and waste.
What kind of limitations should users be aware of with DevZero?
Specific benefits such as dedicated support and advanced features are available only in paid tiers. Additionally, the free tier offers platform access for a limited duration of 45 days, and pricing is structured per CPU, which can scale with very large clusters.
Does DevZero include a free tier?
Yes, DevZero offers a free tier that provides access to the platform for a limited duration of 45 days. Paid plans are available for more extensive usage and to unlock additional features.
Can DevZero optimize Kubernetes clusters across different cloud providers?
Yes, DevZero supports optimization across various cloud providers, including AWS, GCP, and Azure, as well as on-premise setups. It provides intelligent instance selection and live migration capabilities to maximize efficiency regardless of the infrastructure.
How does DevZero ensure compliance with service level agreements (SLAs)?
DevZero's continuous optimization of CPU and GPU allocation is designed to improve performance and ensure SLA compliance. By dynamically adjusting resources, it maintains optimal workload performance without overprovisioning.
Source: devzero.io