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DevZero

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Continuously optimize Kubernetes CPU and GPU allocation to reduce cloud spend and improve performance.

Cloud & InfrastructureDevOpsAI & Automation
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Tracked since2026
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The 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?

Editorial review
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

how we evaluateSourcedevzero.io ↗

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 Aug 10, 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
Calculate your costView full pricing

Is DevZero worth the price?

85/100

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.

Hidden Costs & Gotchas

Scaling tier limited to 2,000 CPUs

Enterprise tier requires custom quote

No explicit mention of GPU pricing in Scaling tier

How DevZero Compares to Competitors

Compared to solutions like Kubecost, which often charges per node or per cluster with varying feature sets, DevZero's "$7 per CPU per month" model for optimization is a direct and transparent approach to cost savings. While Kubecost might offer broader cost visibility, DevZero focuses heavily on active optimization and performance, making its per-CPU pricing a strong value proposition for those prioritizing direct savings over just reporting. Other tools like CloudHealth by VMware also offer cost management but are typically broader cloud management platforms with higher price points and less granular Kubernetes-specific optimization.

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Best DevZero Alternatives

Top alternatives based on features, pricing, and user needs.

CloudHealth logo
CloudHealthPaid

Master your multi-cloud spend with intelligent cost optimization

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Kubecost logo
KubecostFreemium

Monitor and reduce Kubernetes spend with real-time visibility and optimization insights.

OpenCost logo
OpenCostFree

Open-source cost monitoring and allocation for cloud-native Kubernetes environments.

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

DevZero vs CloudHealthHead-to-head: features, pricing, who winsDevZero vs KubecostHead-to-head: features, pricing, who winsDevZero vs OpenCostHead-to-head: features, pricing, who wins

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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

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