IBM VUE & Critical Path Software

CPS helps enterprises reduce MSU consumption, optimize Db2 and VSAM performance, and control software costs under IBM’s Value Unit Pricing (VUE) model. By lowering CPU usage and preventing unnecessary capacity upgrades, our solutions ensure businesses pay less for IBM licensing while maintaining peak performance. Unlock greater efficiency and cost savings with CPS today. 

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How IBM VUE Pricing Aligns
with CPS’s Optimization Offering

IBM’s Value Unit Pricing (VUE) model is designed to scale software costs based on system capacity, which directly aligns with CPS’s ability to optimize Db2 and VSAM performance, reducing CPU consumption and MSU usage.

Here’s how our solutions create cost-saving opportunities within this pricing structure:

Reducing MSU Consumption = Lower Licensing Costs

  • VUE pricing ties software costs to MSU usage—the more MSUs consumed, the higher the cost.
  • CPS optimizations reduce CPU consumption, directly lowering MSU usage and, in turn, reducing the number of Value Units (VUs) required for IBM software licensing.

Impact: Companies using Db2, CICS, IMS, and MQ under the VUE model will see direct cost reductions as CPU workload decreases.

Delaying Expensive Capacity Upgrades

  • VUE pricing follows a tiered structure, meaning that higher mainframe capacity incurs higher incremental costs per MSU.
  • By optimizing Db2 SQL execution, VSAM access methods, and batch processing, CPS helps enterprises stay within lower capacity tiers for longer, delaying the need for costly mainframe upgrades.

Impact: Organizations avoid moving into a higher IBM pricing tier, maximizing cost efficiency.

Improving Cost Efficiency at Scale

  • The VUE pricing model rewards efficiency by decreasing the cost per MSU at higher usage levels.
  • CPS ensures that as system workloads grow, they remain optimized, so businesses get more transactions processed per MSU without incurring unnecessary software licensing costs

Impact: Organizations scale more cost-effectively, optimizing workloads without driving up software costs.

Supporting Sub-Capacity Pricing Strategies

  • Many IBM clients use sub-capacity pricing models to only pay for what they use.
  • CPS optimizations reduce peak MSU usage, ensuring businesses stay within lower consumption thresholds under IBM’s sub-capacity rules.

Impact: Businesses pay less for software while maintaining full performance for end users.

Enhancing ROI for Clients Using Tailored Fit Pricing (TFP)

  • TFP (Tailored Fit Pricing), an alternative to VUE, provides fixed-cost mainframe pricing based on historical usage.
  • CPS ensures that workloads stay optimized, so clients maximize system efficiency within their fixed-cost model.

Impact: Companies reduce excess CPU usage, making their TFP agreements more cost-effective over time.

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Key Takeaways: Why CPS Fits with IBM VUE Pricing

IBM VUE Pricing Factor

How CPS Optimization Helps

Software cost tied to MSU usage

CPS reduces MSU consumption, lowering software expenses.

Tiered pricing increases at higher usage levels

CPS keeps workloads optimized, delaying costly tier upgrades.

Scaling mainframe capacity raises costs

CPS enables businesses to grow efficiently without overpaying.

Sub-capacity models reward lower peaks

CPS smooths CPU spikes, keeping costs within optimal pricing bands.

TFP customers benefit from greater efficiency

CPS helps clients maximize fixed-cost pricing agreements.

CPS directly impacts cost savings under IBM’s VUE pricing structure by reducing MSU usage, optimizing performance, and delaying expensive capacity upgrades. This enables enterprises to maintain high efficiency while keeping software licensing costs under control—maximizing ROI on their IBM mainframe investments.