Server DRAM prices surged nearly 95% in early 2026, driven by AI infrastructure demand. Organizations delaying VMware migration may find their transition window closing for reasons that have nothing to do with software licensing.
Broadcom's own analysis of the 2026 infrastructure market acknowledges that server DRAM prices surged nearly 95% in early 2026, driven by AI data center build-outs consuming manufacturing capacity that would otherwise supply standard enterprise server components.
Why AI Infrastructure Demand Is Hitting Everyone
When GPU manufacturers require High Bandwidth Memory at scale, fabrication facilities redirect capacity from standard DRAM production. The result is constrained supply and elevated prices for the server components that enterprise organizations need for conventional infrastructure refreshes, including Nutanix migration target hardware.
Broadcom's infrastructure blog notes that the answer to the 2026 hardware crisis is not buying more hardware but a software-defined approach that extracts more from existing assets. Organizations that right-size their target environment through accurate capacity analysis before purchasing hardware will be better positioned than those ordering based on rough estimates.
The Lead Time Problem
Hardware acquisition lead times in the current environment are materially longer than before the AI infrastructure build-out accelerated. Organizations planning 2026 migrations that have not already sized and ordered Nutanix target hardware may be looking at 12 to 24 week lead times depending on configuration.
Accurate Sizing as a Cost Reduction Strategy
In a high-cost hardware environment, over-sizing the target Nutanix cluster is measurably more expensive than in prior years. The ReadyWorks VM Accelerator provides the normalized capacity data that makes accurate Nutanix target sizing possible. Using Nutanix Collector, RVTools, or a direct vCenter connection, it surfaces actual CPU, memory, and storage consumption at the VM level. VirtualReady then takes that consumption data into its target-sizing models, identifying overprovisioned resources that can be right-sized before hardware orders are placed.
READY TO ACT?
Size your Nutanix target infrastructure accurately in a high-cost hardware market. Download the ReadyWorks VM Accelerator free for 45 days and build your migration on real capacity data. Learn more about VM Accelerator
FREQUENTLY ASKED QUESTIONS
Why are hardware costs rising in 2026 even for non-AI infrastructure?
AI data center build-outs are consuming a large share of global semiconductor manufacturing capacity, constraining supply and elevating prices for all organizations purchasing server hardware.
How long are hardware lead times for Nutanix migration target infrastructure?
In the current environment, lead times for enterprise server hardware range from 12 to 24 weeks depending on configuration. Migration programs should account for this when planning execution timelines.
How does VM Accelerator help with hardware sizing?
VM Accelerator provides actual CPU, memory, and storage consumption data at the VM level, including behavioral analysis identifying overprovisioned resources. This allows sizing based on actual usage rather than provisioned values, reducing hardware costs in a constrained market.
Should the hardware cycle change when I start my migration program?
Yes. Earlier starts allow more time to identify sizing efficiencies, place hardware orders with adequate lead time, and execute migration waves without hardware constraints compressing your execution window.
