🚀 AWS GenAI LLM Training Architecture

A scalable and reliable ML training pipeline designed with distributed computing and reliability features

Comprehensive ML training pipeline with distributed computing and reliability features


Designed by Jahidul Arafat, ex-Oracle (L3 Sr. Solution and Cloud Architect), PhD Candidate, AUBURN University (CSSE), USA; Highest Distinction Presidential Graduate Research Fellow
AWS CLOUD

🏗️ Deployment Template

Comprehensive LLM training with SageMaker, EC2, and managed services
Training Progress: 0%

Training Operations

Data Pipeline

Compute Management

Reliability & Monitoring

System Controls

Panel Management

🔍 System Metrics

Training Instances: 4
GPU Utilization: 78%
Model Parameters: 70B
Training Loss: 2.34
Throughput: 1.2k tokens/sec
Data Processed: 2.3TB
Network I/O: 450 MB/s
Reliability Score: 99.2%
Cost/Hour: $892

Architecture Overview

🖥️ Live System Console
[INIT] AWS GenAI Architecture Console initialized
💰 Real-time Cost Tracker