DevZero
UnclaimedContinuously optimize Kubernetes CPU and GPU allocation to reduce cloud spend and improve performance.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Significant cost savings (30-80%) on Kubernetes cloud spend
Biggest con
Specific benefits like dedicated support and advanced features are locked behind paid tiers
TL;DR - DevZero
- 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.
Pricing: Free plan available
Best for: Growing teams
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
Pros & Cons
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
Preview
Key Features
Continuous CPU and GPU allocation optimizationReal-time cost monitoring by cluster, namespace, workload, and teamIntelligent instance selection for optimal bin packingLive migration of running applications with zero downtime (CPU, GPU, memory, storage, network)Smart GPU rightsizing with granular visibility and optimization suggestionsWorkload optimization using AI to adjust CPU and memory without restartsCost attribution for departments and data export for chargebackAudit logging
Pricing Plans
Pricing checked Jun 22, 2026
Free
$0 / month
- Kubernetes resource and cost monitoring
- Up to 2 active clusters
- Platform access for 45 days
- Cost attribution for departments
- Data export for chargeback
- Audit logging
Scaling & Optimization
$7 / CPU per month
- Up to 2,000 CPUs
- Unlimited data retention
- Usually, ~25% of savings
- Workload optimization
- Infrastructure optimization
- Pod Live migration
- Spot instance management
- Performance-based alerting
Enterprise
Contact us for pricing
- Workload & Infra management
- Enterprise SSO
- Forecast-driven scaling
- Multi-cloud support
- GPU infrastructure optim.
- Dedicated account manager
- Dedicated on-call service
- Frx. Platform Eng support available
Reviews
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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