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AI FinOps Solutions for Cloud Cost Optimization
Executive Summary
AI workloads are the new frontier of cloud waste. ZOLIX AI provides the only Sovereign AI FinOps engine for the LLM era, analyzing token-level attribution and H100/A100 cluster rightsizing.
Strategic Objectives
01
Token Attribution
Mapping every LLM inference call to a specific user or business unit.
02
GPU Density Tuning
Maximizing VRAM utilization to prevent unnecessary cluster scaling.
03
Model TCO Analysis
Comparing managed API costs vs. self-hosted open-source models.
Technical Architecture
The ZOLIX Advantage
Token-level attribution and H100/A100 cluster rightsizing.
30% increase in inference throughput per dollar.
Targeted Efficiency Gain
9B Parameter C2O Model
SOC2 Type II Compliant