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Kubex

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What Kubex is

Kubex is an AI-driven analytics platform for optimizing Kubernetes resources, with tools for pod sizing, node selection, and GPU workloads. Its Automated Pod Scaler right-sizes pod requests, either after human approval or through full automation. The Node Optimizer uses learned behavior to recommend node types and CPU-to-memory ratios. GPU capabilities include pre-warming, fractional sharing, scheduling and bin packing, dynamic rebalancing, memory isolation, and optimization by SKU and provider. Supported environments include Kubernetes, Red Hat OpenShift, EKS, ECS, AKS, GKE, NKP, and OKE. Integrations span cloud providers, monitoring tools, Helm, Terraform, Jira, and ServiceNow; an MCP server provides AI agents structured access to optimization data. Kubex is available through API, self-hosted, and web options. Pricing depends on environment and scope and is provided on request. A 60-day trial is available without a credit card. Kubex identifies platform engineers, SREs, AI/ML and GPU infrastructure teams, AI factory operations, and FinOps practitioners as intended users.

Who it suits

Kubex suits platform engineering and SRE teams managing Kubernetes resources, as well as AI/ML, GPU infrastructure, AI factory operations, and FinOps teams. It is relevant to organizations seeking container-level allocation recommendations and options for automating pod scaling.

What it does well

  • Pod requests can be right-sized with approval or automation.
  • Node recommendations use learned behavior.
  • Includes GPU scheduling, sharing, and rebalancing features.
  • Supports several Kubernetes environments and cloud providers.
  • 60-day trial requires no credit card.

What to know first

  • No free plan is listed.
  • Pricing is provided on request.
  • Pricing depends on environment and scope.

Limits

The trial lasts 60 days. Paid pricing and scope depend on the customer environment, and there is no free plan.

Plans

PlanBilled and limitsPrice
Custom quotePricing depends on environment and scopeOn request

As kubex.ai lists them, read 8 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open the Kubex website
  2. Choose API, self-hosted or web access
  3. Request pricing based on your environment and scope
  4. Start the 60-day trial without a credit card
  5. Connect supported Kubernetes environments and integrations

Verdict

Kubex combines pod and node optimization with a broad set of GPU workload capabilities. The 60-day trial gives teams a way to evaluate it before requesting environment-specific pricing.

Questions

What platforms does Kubex support?

Kubex lists API, self-hosted and web access. Supported environments include Kubernetes, Red Hat OpenShift, EKS, ECS, AKS, GKE, NKP and OKE.

How much does Kubex cost?

Pricing is provided on request and depends on the customer’s environment and scope. Kubex offers a 60-day trial without requiring a credit card.

Does Kubex have a free plan?

No. Kubex lists a paid model with a 60-day free trial.

What integrations are available?

Listed integrations include AWS, Azure, GCP, Oracle Cloud, Datadog, Grafana, New Relic, OpenTelemetry, Prometheus, Helm, Terraform, Jira and ServiceNow.

What security controls does Kubex describe?

Kubex says it uses TLS 1.2+ in transit, AES-256 at rest and daily encrypted backups. It also describes annual SOC 2 Type 2 audits and controls aligned with ISO/IEC 27001.

Facts from Kubex's own pages

AI agent access
Kubex lists an MCP server for secure, structured access to optimization data for AI agents. · kubex.ai, 8 Oct 2026
Compliance
Kubex says it is audited annually for SOC 2 Type 2 compliance and aligns internal controls to ISO/IEC 27001 standards. · kubex.ai, 8 Oct 2026
Data handling
Kubex says it collects or stores no personal identifiable information beyond name and email and deletes customer data within 30 days after contract termination. · kubex.ai, 8 Oct 2026
GPU features
GPU capabilities include pre-warming, fractional sharing, scheduling and bin packing, dynamic rebalancing, memory isolation, and SKU and provider optimization. · kubex.ai, 8 Oct 2026
Headquarters
Toronto, Canada · kubex.ai, 28 Sept 2026
Integrations
Listed integrations include AWS, Azure, GCP, Oracle Cloud, Datadog, Grafana, New Relic, OpenTelemetry, Prometheus, Helm, Terraform, Jira, and ServiceNow. · kubex.ai, 8 Oct 2026
Intended users
Kubex identifies platform engineers, SREs, AI/ML and GPU infrastructure teams, AI factory operations, and FinOps practitioners as audiences. · kubex.ai, 8 Oct 2026
Node optimization
Its Node Optimizer recommends node types and CPU-to-memory ratios based on learned behavior. · kubex.ai, 8 Oct 2026
Pod scaling
Its Automated Pod Scaler right-sizes pod requests with human approval or full automation. · kubex.ai, 8 Oct 2026
Pricing
Pricing depends on the customer's environment and scope, and Kubex asks for information before providing an accurate price. · kubex.ai, 8 Oct 2026
Security
Kubex says it uses TLS 1.2+ encryption in transit, AES-256 encryption at rest, and daily encrypted backups. · kubex.ai, 8 Oct 2026
Supported environments
Kubex lists Kubernetes, Red Hat OpenShift, EKS, ECS, AKS, GKE, NKP, and OKE support. · kubex.ai, 8 Oct 2026
Trial
The product page offers 60 days free with no credit card required. · kubex.ai, 8 Oct 2026
What it does
Kubex is an AI-driven analytics platform for automating Kubernetes resource optimization and recommending container and node settings. · kubex.ai, 8 Oct 2026

Where Kubex stands on Freedom251

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