Plan AI systems with confidence.
One rigorous workspace for capacity, cost, data, and facility planning—built to make infrastructure decisions explainable before they become expensive.
AI Infrastructure
Planning system
GenAI Sizing Calculator
Configure model, workload, precision, GPU, and topology to calculate capacity.
Use Case Profiles
Add and compare multiple workload profiles.
Use Case Configuration
Model Configuration
Select Model
Model Precision
KV Cache Precision
Workload Requirements
Load shape
GPU Selection
Topology preset
Aggregate Sizing Results
Select and configure at least one use case profile to see aggregate GPU requirements.
Explicit module handoffs
Four focused tools, connected where the math carries forward.
GenAI sizing sends GPU topology and physical-node placement into TCO. Facility Design can import the resulting hardware plan. Vector DB sizing stays separate until you price its storage, RAM, and node envelope.
Capacity model
GenAI sizing
Translate model architecture, latency targets, and concurrency into a defensible GPU topology.
Financial model
TCO analysis
Compare owned infrastructure, cloud IaaS, and token APIs across a complete operating horizon.
Data model
Vector database
Estimate storage, memory, CPU, and node envelopes for production retrieval workloads.
Physical model
Facility design
Turn logical infrastructure into rack, power, cooling, and floor-space requirements.
Decision-grade by design
Assumptions remain visible. Outputs remain traceable.
Explicit assumptions
Every recommendation is tied to visible model, utilization, topology, and price inputs.
Automatic recalculation
Valid cost edits refresh the comparison, while accepted GenAI sizing preserves per-use-case topology in TCO.
Directional performance
Low/base/high ranges communicate estimate uncertainty; latency and throughput remain provisional until benchmarked.
Begin with the workload
Build the first scenario in minutes.
No signup required. Inputs stay editable, and unsupported prices remain visibly quote-required.