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Financial Services
Cloudera + NVIDIA: Improving TCO for Fraud Detection Models
Quantifies the real cost of private inference for fraud detection and compares it directly with equivalent cloud API pricing, helping organizations understand when on-premises AI delivers a meaningful cost advantage.
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Blueprint Card
Overview
This Blueprint builds a transaction foundation model that learns behavioral patterns from transaction history and generates embeddings that can improve downstream models like fraud detection. Based on NVIDIA's Blueprint 'Building Transaction Foundation Models'.
Demo
Walkthrough via Reprise Watch the demo
Key Features
Quantify real costs of private LLM inference and compare directly with cloud API pricing.
Identify clear cost advantages and optimal thresholds for on-premises AI deployment.
Use Case
Build a defensible AI deployment case by comparing private and public inference costs across demand, scale and utilisation.
Architecture
Powered by Cloudera AI Inference and Workbench for accurate cost modeling and private LLM inference deployment.
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