Sold by: Kubex
Deployed on AWS
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AI driven resource optimization for K8s, GPUs, and AI workloads
4.7
Overview
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Cluster View
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Environment View
Kubex delivers automated compute resource optimization for Kubernetes and cloud, and automated AI/GPU infrastructure optimization to maximize the yield from expensive GPUs. Right-size resources and GPU workloads automatically with ML-driven accuracy and eliminate waste and improve performance.
Why Kubex Is a Game-Changer:
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Actionable Precision: Identify and act on the top risks, inefficiencies, and savings opportunities across your environment.
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Full-Stack Visibility: Gain deep insights into your Kubernetes environment, from nodes to containers, to ensure every action is informed.
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Streamlined Collaboration: Enable FinOps, SREs, and App Owners to work together seamlessly with intuitive dashboards and deep linking for easy sharing.
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Automation at Its Core: Selectively automate optimizations, ensuring the safest, highest-impact changes are implemented without manual intervention.
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Realizable Gains: Empowers teams to act confidently and efficiently by identifying the specific optimizations that deliver measurable results without risk.
Highlights
- Resource Optimization - learns real workload behavior to recommend ideal CPU, memory, and GPU requests to eliminates over-provisioning without risking performance
- GPU Resource Request Optimization - recommends optimal GPU allocation for each workload to prevent over-requesting and GPU node sprawl
- Continuously adapts to changing model and pipeline behavior
Details
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Deployed on AWS
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Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
1,000 vCPUs or 100 GPUs | Subscription for up to 1,000 vCPUs or 100 GPUs | $900.00 |
500 vCPUs or 50 GPUs | Subscription for up to 500 vCPUs or 50 GPUs | $499.00 |
Dimensions summary
Kubex sells two subscription tiers based on the capacity you optimize. Each tier sets a ceiling on resources covered: one covers up to 500 vCPUs or 50 GPUs, the other up to 1,000 vCPUs or 100 GPUs. You pick the tier that matches your cluster size. Pricing scales by capacity, not by individual features. Both tiers are billed as a contract commitment. vCPU capacity applies to Kubernetes and cloud compute optimization, while GPU capacity applies to AI and GPU workload optimization. Choose the higher-capacity tier as your infrastructure grows.
Top-of-mind questions for buyers
A vCPU is a virtual processor core in your Kubernetes or cloud compute environment. A GPU is a graphics processor used for AI and machine learning workloads. Kubex counts the vCPUs and GPUs across the clusters and containers it optimizes, up to your tier's stated ceiling.
Each tier is stated as "up to X vCPUs or Y GPUs." The ceiling applies across both resource types. vCPU capacity drives Kubernetes and cloud compute optimization, while GPU capacity drives AI and GPU workload optimization. Both capability sets run through the same platform under one subscription.
Each tier sets a fixed ceiling on the vCPUs or GPUs Kubex optimizes. If your environment grows beyond that ceiling, you move to the higher-capacity tier that matches your cluster size. The transition is not automatic within a single subscription, so plan capacity when you select a tier.
kubex.ai
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Vendor refund policy
No refund of prepaid subscription fees for early termination, unless there's been a proven breach by Densify, in which case a full refund will be issued. Contact Densify at answers@densify.com for further information.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Contact our support team @ support@kubex.ai
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Computer Software
Responsive UX, Powerful Drill-Downs, and Collaborative Support from Kubex
Reviewed on May 15, 2026
Review provided by G2
What do you like best about the product?
The user experience and drill-down capabilities are great and responsive, and they make it easier to understand the optimization potential. Kudos to the Kubex team as well for being collaborative and working closely with customers to help ensure a solid return on investment. Love the AI agentic, integration and automation capabilities of the product too!
What do you dislike about the product?
It would be good to have a interactive timeline view of cost optimizations and savings over period of months.
What problems is the product solving and how is that benefiting you?
Before Kubex, we were largely guessing at CPU and memory requests for our Kubernetes workloads. To stay on the safe side, we routinely over-provisioned, which drove up cloud spend without clear evidence it was necessary. Engineers also spent a lot of time chasing performance issues, tweaking resources by hand, and trying to interpret cluster metrics across multiple tools.
Now we mostly rely on Kubex’s AI-driven recommendations and automation, and that has led to lower costs, better performance, and less operational toil. Rather than manually combing through dashboards, teams get prioritized, actionable recommendations that can be applied automatically through policies.
FinOps, SREs, and application owners are finally looking at the same data in Kubex, which makes it much easier to align on changes and track their impact over time.
Now we mostly rely on Kubex’s AI-driven recommendations and automation, and that has led to lower costs, better performance, and less operational toil. Rather than manually combing through dashboards, teams get prioritized, actionable recommendations that can be applied automatically through policies.
FinOps, SREs, and application owners are finally looking at the same data in Kubex, which makes it much easier to align on changes and track their impact over time.
Insurance
Kubex Delivers Smart Resizing Insights with a Much-Improved UI
Reviewed on Apr 26, 2026
Review provided by G2
What do you like best about the product?
We have been using Densify (now Kubex) for several years to obtain resource resizing recommendations and have had consistently positive experiences. The team is highly responsive to customer feedback and demonstrates a strong commitment to delivering enhancements in a timely manner. The recent rebranding to Kubex introduced a number of valuable new capabilities, including agentic AI and support for EKS and ECS recommendations, along with significant improvements to the user interface.
What do you dislike about the product?
The previous user interface was challenging to navigate and exporting certain reports was inconsistent across some browsers. However, following the recent rebranding, these issues appear to have been fully addressed, and I no longer have any negative feedback regarding the product.
What problems is the product solving and how is that benefiting you?
We primarily use Kubex for instance resizing recommendations as well and EKS and ECS optimization recommendations. We also leverage their Catalog Map to identify alternative instance options when the recommended instance isn’t feasible.
Caitie A.
Workload-Aware Rightsizing for Azure & GCP with Actionable Cost Impact Insights
Reviewed on Feb 12, 2026
Review provided by G2
What do you like best about the product?
Densify provides rightsizing recommendations across both Azure and GCP using consistent methodology, which makes it easier to standardize our cost optimization approach and compare efficiency across platforms. The recommendations are workload-aware, accounting for actual performance patterns rather than just average utilization, and extend beyond VM rightsizing to include container-specific recommendations for AKS clusters like pod resource requests/limits and node pool sizing. Densify analyzes extended lookback periods to capture seasonal variations and workload spikes, providing actionable insights with clear cost impact projections and risk assessments that make it easier to prioritize optimizations and build business cases.
What do you dislike about the product?
Kubex does not accommodate Oracle Cloud at this time but will in 2026.
What problems is the product solving and how is that benefiting you?
Has provide rightsizing recommendations for AKS and IaaS GCP and Azure virtual machines that are tailored to business needs.
Carlos L.
Thanks Densify
Reviewed on Aug 06, 2025
Review provided by G2
What do you like best about the product?
Densify is a great product, but their people and support are some of the best in the industry to work with. Thank you for all you do!
What do you dislike about the product?
Nothing yet, Densify has been great so far.
What problems is the product solving and how is that benefiting you?
Densify has helped save money and run more efficiently on AWS.
Broadcast Media
Insight-Driven Cloud Optimization You Can Trust
Reviewed on Jul 08, 2025
Review provided by G2
What do you like best about the product?
User-friendly, consantly improving interface. Onboarding steps are straightforward and documentation is clear. Customer support is responsive, knowledgeable and follows you in each step of the porcess, from onboarding to activating more advanced features. All the provided suggestions are decorated with useful insights which allow techincal figures to better trust the produced recommendations. Additionally, Densify integrates smoothly with major cloud providers and existing infrastructure tools, minimizing disruption and maximizing compatibility.
What do you dislike about the product?
While the user interface is intuitive, the wide range of features means there is a learning curve, and some experience is needed to take full advantage of everything Densify offers. Regularly checking the dashboard helps ensure you benefit from the latest insights and recommendations. Although exporting options could be expanded, the platform’s strengths in integration and actionable intelligence more than make up for this, resulting in a very satisfying overall experience.
What problems is the product solving and how is that benefiting you?
Densify is helping our team to reduce cloud infrastructure costs allowing us to correctly size compute and kubernetes environments.