Pre-Deployment

AI Planner

Stop guessing your AI requirements. ZOLIX AI Planner helps you perfectly dimension your AI workloads—matching the exact right AI Model with the most cost-effective GPU Infrastructure before you spend a single dollar.

Dimensioning

GPU Sizing

Accurately forecast your hardware needs before spending a dime. Determine if your workload requires H100s, A100s, or cost-effective L4s.
Financials

TCO Modeling

Compare the Total Cost of Ownership between managed APIs (OpenAI, Anthropic) versus self-hosted open-source models (Llama, Mistral).
Scaling

Capacity Planning

Predictive scaling for AI workloads. Understand how your infrastructure costs will scale as your user base and token generation grows.
Governance

Budget Guardrails

Prevent AI cost overruns before deployment. Set strict financial policies that block expensive, unoptimized models from reaching production.

Eliminate Deployment Guesswork

Deploying AI without a plan leads to massive over-provisioning. AI Planner provides the mathematical certainty needed to launch cost-effective AI products.

Model Selection

Compare the parameter size, context window, and quantization requirements of various open-source models to find the perfect fit for your specific use case.

Hardware Matching

Input your expected token throughput and latency requirements, and we'll recommend the exact GPU instance family across AWS, Azure, and GCP.

TCO Forecasting

Generate accurate 12-month budget forecasts that include compute, storage, data egress, and API costs, ensuring finance is aligned before launch.

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