Directory Cloud InfrastructureCloud Cost ManagementCloudHealth (VMware)

CloudHealth (VMware)

About CloudHealth (VMware)

CloudHealth is a multi-cloud cost management platform that helps organizations make sense of complex infrastructure, from traditional cloud resources to AI workloads and token-based pricing models. The product provides granular reporting, optimization, and governance to bring clarity to enterprise cloud data. It is a FinOps platform built for enterprises and Managed Service Providers (MSPs). It tracks AI tokenomics to support scaling of modern workloads. It ingests and normalizes usage telemetry across public cloud, private cloud, AI, and SaaS platforms via a Data Connect architecture.

Products

AI and Tokenomics Dashboard: Tracks AI footprint and variable model spend from GPU hardware allocation down to individual token consumption.
Smart Summary: Identifies cost drivers and provides FinOps recommendations.
Reports: Allows creation and analysis of data from a cloud-wide overview to granular insights.
Optimization Dashboard: Turns recommendations into savings by rightsizing, cutting waste, and locking in commitment-based discounts.
Intelligent Assist: Answers questions, generates reports, and gives recommendations as a Gen-AI co-pilot.
Data Connect: Ingests custom SaaS, PaaS, and external cost data via automated connectors or file uploads for analysis alongside cloud infrastructure.

Used for

Categorizing monthly AI spend across vendors, models, and service types to pinpoint cost drivers.
Monitoring cost-per-unit trends and allocating total spend across business units.
Detecting cost anomalies and identifying drivers behind spend fluctuations.
Identifying idle VMs, orphaned storage, and untagged resources for elimination.
Normalizing billing data from AWS, Azure, and Google Cloud into a unified schema.

Who it is for

Enterprises
Managed Service Providers (MSPs)

From CloudHealth (VMware)'s own website, read 2026-10-23. How we build listings.

How to evaluate Cloud Cost Management

This is how the CIOPages Research Team evaluates this category. It is not an assessment of CloudHealth (VMware). It comes from our Cloud Cost Management & FinOps buyer guide.

25%

Cost Visibility & Allocation Accuracy

Multi-cloud aggregation on a common (ideally FOCUS) schema; Kubernetes pod/namespace/cluster allocation; treatment of shared and untagged cost; virtual/retroactive tagging that does not require re-tagging infrastructure; AI/GPU spend attribution

25%

Rate & Commitment Optimization

Reserved Instance, Savings Plan, and committed-use modeling and recommendations; coverage/utilization tracking; whether the tool only advises or also purchases and continuously rebalances commitments; risk controls on automated buying

20%

Usage Optimization & Automation

Rightsizing on real utilization (not averages); idle-resource detection and scheduled or automated shutdown of non-production; spot/preemptible orchestration; Kubernetes node and pod rightsizing; what executes automatically versus what only recommends

15%

Budgeting, Forecasting & Anomalies

Budget tracking with variance; trustworthy forecasting against committed and on-demand mix; anomaly detection that alerts before spend runs away; what-if modeling for migrations and commitment changes; unit-economics metrics

10%

Accountability & Workflow Integration

Showback/chargeback finance will defend; cost surfaced where engineers work (Slack, Jira, CI/CD, pull requests); policy and governance guardrails; whether recommendations create trackable tickets rather than dead-end reports

Platform, Pricing & Ecosystem Fit

API and FOCUS-export quality; SSO/RBAC and tenant isolation; whether the pricing unit (percentage of managed spend vs. flat) aligns with your growth; ownership stability after the sector’s consolidation; depth of professional services

Other Cloud Cost Management Vendors

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Quick Facts

cloudhealth.vmware.com Pricing page

CategoryCloud Infrastructure

SubcategoryCloud Cost Management

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