How to save money on VMware licensing

If you’ve felt VMware licensing costs creeping up year after year, you’re not alone. In many organizations, VMware spend quietly becomes one of the largest “keep-the-lights-on” line items. And it’s often hard to optimize because licensing is tied to the physical footprint, core counts, and subscription entitlements rather than what your applications actually use.

Why VMware licensing gets expensive even if nothing changes

The tricky part of VMware licensing is that your cost can rise even when your workload demand is flat. The most common root causes look like this:

VMware Cloud Foundation (VCF) subscription licensing: The new center of gravity

If you want to optimize costs, you need to understand what you’re optimizing against. Under modern VCF program documentation, a key rule is:

VCF is subscription software licensed per core, with a minimum of 16 cores per processor, and every core on the server must be licensed (including deactivated cores).

That “16 cores per CPU minimum” is one of the most important cost levers. It means even if you buy a smaller-core CPU, you may still pay for 16 cores per socket. And if you buy a very high-core CPU, you may pay for all of those cores.

There is also a broader operational shift: VCF 9.0+ uses subscription-based license files instead of the old 25-character keys, with license usage tracked through Broadcom’s tooling and workflows.

3 levers that reduce VMware licensing cost

Here are 3 levers that reliably work in real environments. Everything else is usually a variation of these.

Lever A: Reduce licensable cores (hardware + cluster design)

If licensing is per-core, then the most direct savings come from reducing the number of cores that must be licensed.

That can mean:

• Consolidating workloads onto fewer hosts (without compromising HA requirements).
• Retiring underused clusters.
• Re-thinking “one cluster per team” patterns when they cause licensing fragmentation.
• Avoiding unnecessary scale-up to extremely high core-count hosts when you don’t need them.

This is a core part of our IT infrastructure optimization services — fewer licensable cores equals lower subscription capacity requirements.

Lever B: Reduce the VMware footprint (move workloads away)

If you can move a portion of workloads off VMware through legacy software modernization (to AWS-native services, containers, or managed databases), you shrink the VMware estate and, therefore, the required subscription capacity.

This is often the biggest long-term lever because it prevents “license gravity” (where everything is forced to stay on VMware because the platform exists).

Lever C: Increase license efficiency (right-size before you pay)

A surprising amount of VMware spend is tied to “big VMs on big clusters” that were allocated years ago. The hidden win is that right-sizing often triggers second-order effects:

• Smaller VMs allow higher consolidation ratios.
• Higher consolidation reduces the number of hosts needed.
• Fewer hosts means fewer sockets/cores to license.

So “rightsizing” isn’t just an AWS thing. It’s a VMware licensing optimization strategy, too.

Where AWS fits: Treat migration as a licensing optimization project, not just a hosting move

A lot of companies approach “VMware to AWS” as an infrastructure relocation story. That’s a missed opportunity. If licensing cost is your pain, your migration strategy should explicitly answer:

1. Which workloads should stay on VMware (temporarily or long-term)?
2. Which workloads should move off VMware first to reduce subscription capacity?
3. What right-sizing evidence do we have (not guesses) to support redesign and CFO buy-in?

This is exactly the gap our VMware to AWS migration framework, specifically the AWS OLA, is meant to address.

AWS OLA: The mechanism that turns “we think we overpay” into numbers

AWS describes the Optimization and Licensing Assessment (OLA) as a way to assess on-prem and cloud environments and provide recommendations to optimize instances and licensing. According to official AWS documentation, the OLA is a no-cost engagement designed to build a data-driven business case before you commit to a migration strategy.

There are 2 details from AWS documentation that are particularly useful in practice:

Even though the AWS Prescriptive Guidance page is written for Microsoft workloads, the method matters here: if you’re going to optimize VMware licensing and AWS cost, you want time-series utilization, not static snapshots.

AWS also explicitly claims license efficiency benefits: “performing an AWS OLA offers 60% greater license efficiency,” and that overprovisioning third-party licensing increases TCO. And in a Cloud Operations blog post, AWS cites analysis of 300 OLAs delivered by partners, suggesting reductions in required core licenses for Windows Server and SQL Server (the point being: OLA is designed to optimize license-driven costs, not only compute).

EVS as a licensing strategy: Keep VMware, change the infrastructure boundary

Sometimes, “move off VMware” is not immediately realistic. You may have too many legacy workloads, be constrained by change windows, or simply need a safer intermediate step.

This is where Amazon Elastic VMware Service (Amazon EVS) becomes relevant. Not as “modernization”, but as a way to relocate VMware operations into AWS while keeping VMware tools. AWS is explicit that EVS requires bringing your own VMware Cloud Foundation (VCF) license.

So EVS is not the path to eliminate VMware licensing costs. But it can be part of a cost strategy when:

✔ You want to avoid rebuilding apps right now.

✔ You want AWS infrastructure flexibility and procurement model.

✔ You want to use VMware license portability / BYOS models where applicable.

To be clear: EVS can reduce data center costs and accelerate the timeline, but it does not remove VCF licensing requirements, as BYOS is required for the service.

MAP and VMware Migration Accelerator (VMA): funding/incentives that change the math

If licensing pressure is driving urgency, funding often becomes the deciding factor. AWS has multiple programs. In our VMware context, the following 2 names appear often:

• MAP (Migration Acceleration Program) — the broad migration funding framework.
• VMware Migration Accelerator (VMA) — AWS describes it as providing credits when migrating VMware Cloud on AWS workloads to EC2, to lower cost and reduce risk.

These incentives don’t “optimize licensing” directly, but they reduce the upfront cost of doing the work that reduces licensing long term (assessment, planning, migration execution).

A practical process you can follow without getting lost in vendor noise

Here’s a clean process that works whether you migrate now or later:

Step 1: Build a licensing-aware inventory

Not just “VM count”, but where your licensable core footprint really lives: clusters, host core counts, and which workloads require the VMware stack.

Step 2: Identify “license reduction candidates”

These are workloads that are good targets to move off VMware first:

• stateless apps
• batch workloads
• dev/test environments
• workloads with clear modernization paths

Step 3: Run an OLA-style sizing exercise

Lite if you need speed, Full if you want accuracy.

Step 4: Choose your path

• If you can modernize: move those workloads to AWS-native services → shrink VMware footprint.
• If you need relocation first: use EVS as the bridge → modernize gradually.

Step 5: Make cost optimization continuous

Treat licensing optimization as an ongoing discipline:

• quarterly right-sizing
• consolidation reviews
• decommissioning campaigns (especially old clusters)

Take control of your VMware spend

Don’t let the Broadcom transition dictate your budget. Geniusee specializes in turning complex licensing audits into actionable savings.

Schedule your complimentary VMware-to-AWS Assessment

Closing thought

The most important mindset shift is this:

VMware licensing is not just a procurement problem. It’s an architecture and capacity problem.

The organizations that win are the ones that treat licensing spend as a signal: it’s telling you where your platform is oversized, fragmented, or stuck in old assumptions. AWS doesn’t magically erase that. But AWS gives you two powerful things: a platform that makes right-sizing easier to operationalize and mechanisms like OLA that turn assumptions into data-backed optimization plans.

How Geniusee helps you navigate the Broadcom shift

• Rapid licensing audit: We use AWS OLA (Lite and Full) to turn your RVTools data into a clear cost-reduction roadmap.
• Funding strategy: We identify which workloads qualify for AWS MAP or VMA credits to make your migration self-funding.
• Architectural right-sizing: Besides “lift and shift”, we optimize your core counts to ensure you only pay for the performance you actually use.

Ready to see the numbers? Let’s run your OLA assessment together. Book a call with our DevOps experts.