pbalapra/ai-forge

AI Forge 🔥

AI optimizing AI: accelerating model exploration, experimentation, and deployment

Overview

AI Forge is an automated AI model optimization platform that explores thousands of model configurations to find Pareto-optimal trade-offs across multiple objectives. Instead of spending weeks manually tuning models, AI Forge automates the entire process with intelligent multi-objective optimization.

Key Features

🎯 Multi-Objective Optimization

• —Optimize for 7 objectives simultaneously: Accuracy, Model Size, Inference Cost, Throughput, Latency, Memory, Energy
• —Real-time progress tracking for each objective
• —Dynamic metrics display based on selected goals

⚡ GPU Scalability

• —Linear scaling from 8 to 2,048 GPUs
• —Dual stopping criteria: max models OR max time
• —Intelligent limit detection shows which constraint is reached first

📊 Interactive Exploration

• —Explore Pareto-optimal trade-offs between ANY two objectives
• —Real-time visualization of 150+ explored model configurations
• —Side-by-side model comparison with detailed metrics

🚀 Production Ready

• —Export optimized models with one click
• —Comprehensive results dashboard
• —Cost savings analysis and ROI estimation

How It Works

1. 1.Configure: Select your base model, stopping criteria (models/time), and GPU cluster size
2. 2.Optimize: AI Forge explores thousands of configurations using multi-objective optimization
3. 3.Discover: Get 3 Pareto-optimal models, each optimized for different trade-offs
4. 4.Deploy: Export production-ready models immediately

Demo Results

With 1,000 model configurations explored:

• —85% cost reduction compared to baseline
• —81% size reduction while maintaining accuracy
• —8x speedup with 64 vs 8 GPUs
• —Linear scalability up to 2,048 GPUs

Use Cases

• —Research: Explore 10,000 configurations for comprehensive analysis
• —Production: Time-constrained optimization (4-24 hours)
• —Edge Deployment: Optimize for size and energy efficiency
• —Cost Optimization: Minimize inference costs at scale

Technologies

• —Frontend: Streamlit with custom dark theme
• —Visualization: Plotly for interactive charts
• —Optimization: Multi-objective evolutionary algorithms
• —Scalability: Parallel GPU cluster evaluation

About

This is a demonstration platform showcasing automated AI model optimization. The interface demonstrates:

• —Dual stopping criteria (model count or wall-clock time)
• —Real-time multi-objective optimization tracking
• —Interactive Pareto front exploration
• —GPU scalability analysis

Built to accelerate AI development through intelligent automation.

Note: This is a demo application with simulated optimization results for demonstration purposes.