Hours, days, and weeks of inference load from real serving metrics.
AI Inference Capacity Forecasting
Know Tomorrow’s AI Capacity Before You Need It.
BeamHorizon turns production inference telemetry into capacity demand forecasts — so you size GPU pools before traffic arrives.
Forecast My Workload
Chat LLM
Reasoning
Vision
Voice
Voice launch pushes H200 pool beyond P95 240ms target / +4 replicas required before 12:40
Batch
Forecast demand
Existing capacity
Advance compute
Pressure gap
Map forecasts onto GPU pools, replicas, and region placement.
Reserve base capacity and keep uncertainty elastic.
Positioning
See The Compute Your AI Product Will Need Before Traffic Arrives.
For AI-native SaaS, model service providers, AI platform, ML infrastructure, SRE, and FinOps teams.
- How many GPUs for the next model release or growth spike?
- Which GPU pools saturate first?
- Which regions need advance expansion?
- Is reserved capacity excessive or insufficient?
Project AI Compute Demand Beyond The Current Horizon.
Not Routing · Not Billing · Not Monitoring
Capacity Intelligence — Not Another GPU Dashboard.
BeamHorizon is not FinchOtter-style request routing, not a cloud cost dashboard, and not real-time GPU monitoring. It answers how much total compute the future product needs.