AI Training Cost Calculator
Interactive tool estimating GPU hours, cloud costs, and carbon footprint for training models of various sizes.
Key Highlights
- ✓ GPU hour estimation (A100, H100, B200)
- ✓ Cloud cost comparison (AWS, GCP, Azure)
- ✓ Carbon footprint calculation
- ✓ FLOP-based compute estimation
- ✓ Training time projections
Overview
An interactive calculator for estimating the cost of training AI models. Input model size, training tokens, and hardware configuration to get GPU hours, cloud costs, and carbon footprint estimates.
What's Inside
How It Works
Enter your model parameter count, training token count, and desired GPU type. The calculator uses Chinchilla scaling laws to estimate total FLOPs, then maps to GPU-hours based on measured throughput, cloud pricing, and PUE-adjusted carbon intensity.
Cost Optimization Tips
Spot instances can reduce costs by 70%, gradient checkpointing trades 20% more compute for 40% less memory, and mixed precision training (bf16) doubles throughput on modern GPUs.
Ready to dive in?
Explore this resource and discover more across our 12 technology frontiers.