Planning an on-premises LLM deployment?
This interactive capacity planner helps you evaluate whether your existing GPU infrastructure can support a particular language model and workload, or estimate the hardware requirements for a new deployment. Explore model memory requirements, GPU configurations, concurrent workloads, and performance trade-offs before committing to infrastructure investments.
Designed for anyone interested in private LLM deployments, the tool provides an initial feasibility assessment and a practical starting point for capacity planning. Results are estimates and should be validated through testing with your actual workloads.
