In these setups, deployable capacity is limited by placement rules and profile compatibility, not just by available memory. Two clusters with the same free memory can behave very differently depending on how profiles are mixed and placed over time.
This tool helps identify that siloed capacity.
You can:
- choose a GPU type and vGPU profile catalog - model mixed-size placement behavior - see how profile choices influence deployable capacity over time
It’s not a placement simulator and doesn’t try to predict exact VM startup order. The goal is to make placement constraints visible so architects and operators can reason about profile catalogs before deployment.
Tool: https://frankdenneman.nl/tools/vgpu-silo-capacity-calculator...
Background article explaining the model: https://frankdenneman.nl/posts/2026-02-24-mixed-size-vgpu-mo...
Feedback welcome, especially from people running virtualized GPU or shared inference environments.