Turbonomic
Server memory prices are climbing. Model your exposure before it forces an unplanned buy.

Turbonomic Infrastructure Capacity & Reclamation Calculator

Enter a few details about your virtual environment to understand available capacity, identify potential constraints and optimization opportunities, and estimate when additional infrastructure may be required.

Up to 43%
reduction in cloud costs
247%
ROI over three years
75%
fewer performance tickets
Step 1

Your environment

Adjust the values to match your estate. Results update as you go.

Current virtual machine count across the estate
Configured vRAM assigned per VM
%
Net estate growth per year (compounding)
%
Consumed ÷ installed, as reported by vCenter
Sum of physical host RAM across the estate
Fully loaded: hardware + licenses + support
%
Right-sizing reclaim — conservative range 15–30%
Seller input: target density after Turbonomic placement optimization
On: shed hosts for license savings. Off: keep them powered as headroom for maximum runway and deferred purchases.
%
Threshold before performance risk (incl. HA/N+1 reserve)
Physical RAM per host (Simer benchmark: dual 20-core, 512 GB)
%
Conservative cap on the model-derived deferral
Growth one unplanned purchase must cover
%
Used only to value deferral (NPV)
Hypervisor licensing & Turbonomic pricing
vSphere Foundation / Enterprise Plus per host (Simer: $8,500)
Support & maintenance, ~20% of license (Simer: $1,750)
List $268.80; IDIQ discounted $241.92. Volume tiers apply at 10k+/100k+ VMs.
Recalculate savings Reset
Step 2

Your memory risk & savings

Modeled from your inputs using a compounding capacity projection.

0%
Reading your environment…
Modeling memory demand, capacity and Turbonomic impact
—
months to exhaustion
On track

—

—

Unplanned CapEx exposure
$0
first forced purchase
Total Turbonomic value
$0
avoided + deferred
Runway extension
0
additional months

How the Turbonomic value breaks down

Every dollar of exposure lands in exactly one bucket — no double counting.

Purchases eliminated $0
Re-planned into refresh $0
Deferral value (NPV) $0

36-month cumulative exposure

Capacity shortfall you would have to buy your way out of over three years.

Without Turbonomic
$0
With Turbonomic
$0

Hosts & density (placement optimization)

—

Current density
—
VMs/host
With Turbonomic
—
VMs/host
Hosts freed
—
—
Post-Turbo exhaustion
—
—

3–5 year projection: with vs. without Turbonomic

Cost curves compared honestly: hosts are bought only when growth exceeds the fleet you own, and savings emerge from the difference. No asset-value booking.

Detailed analysis

Current state
Consumed memory demand—
Configured vRAM—
Safe capacity—
Remaining safe headroom—
Growth, next 12 months—
Purchase & Turbonomic impact
Unplanned buy size—
Order-by deadline—
Reclaimed capacity—
Post-reclaim utilization—
Achieved refresh deferral—

—

Book a live demo Start free trial

Estimates are directional and based on the inputs you provided.

Download report (PDF) Download data (CSV)

1 IBM case study: Evides — Optimizing cloud costs while scaling operations. Evides reduced cloud costs by 43% within three months while its cloud footprint grew by 8%. See also IBM Turbonomic cloud cost optimization. Individual client results will vary.

2 The Total Economic Impact™ of IBM Turbonomic, a commissioned study conducted by Forrester Consulting on behalf of IBM. Three-year, risk-adjusted ROI for a composite organization based on interviewed customers.

3 Reduction in performance-related tickets, from the same Forrester Consulting Total Economic Impact™ study; see note 2.

IBM Turbonomic — Application Resource Management. This calculator provides directional estimates for planning discussion only, based on the values you enter and a compounding capacity model. It is not a commitment of results, pricing, or savings. Dollar figures are expressed at the time of the modeled purchase; “deferral value” is the net present value of postponing that outflow. Reclaim is bounded by the lesser of configured vRAM and consumed memory. Actual outcomes depend on workload behavior, environment, and configuration.