Deploy a Fraud Detection XGBoost Model with NVIDIA Triton

AI Practitioner

• Overview
  
  • Fraud Detection with RAPIDS and Forest Inference Library
  • Tools, Libraries, and Frameworks Used
• NVIDIA RAPIDS Overview
  
  • RAPIDS for Data Visualization
  • RAPIDS for ML
• Step #1: Data Exploration and Training
  
  • Lab Basics
  • Explore Data and Train the Model
• Triton Inference Server Overview
  
  • Deploy the Trained Model on the Triton Inference Server
    
    • Triton Inference Server
    • Triton Inference FIL Backend
    • XGBoost Model Storage
• Step #2: Starting the Triton Inference Server
• Step #3: Client Application
• Next Steps

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