Training Cost Estimator - AI Model Training Cost
Calculate machine learning training cost in USD based on GPU type, training hours, cloud provider, and data volume. AI economics calculator for budget planning, cloud cost optimization, and infrastructure comparison across AWS, GCP, and Azure.
Training Cost
Cost = (GPU Hours × Rate) + Storage + DataKeterangan:
- CostTotal training cost (USD)
- GPU HoursNumber of GPU hours (A100/H100)
- RateGPU rental per hour (USD)
- TokensNumber of training tokens
How to Use the KalkuLab Training Cost Estimator
- 1
Select Model
Choose the model size (7B, 13B, 70B, etc.).
- 2
Input Data
Enter the number of tokens per epoch and the number of epochs.
- 3
Select GPU
Choose the GPU type (A100, H100, etc.).
- 4
Calculate
Get the estimated training cost.
Contoh Perhitungan
Llama 3 70B
Soal:
1B tokens, 3 epochs, A100 (10 hours). What is the cost?
Penyelesaian:
- 1.GPU Hours = 10 hours
- 2.Rate = $2.5/hour (A100)
- 3.Cost = 10 × $2.5 = $25
Hasil:≈ $25 (Cloud A100)
Training Llama 3 70B on 1B tokens costs about $25 on cloud A100.
Pertanyaan yang Sering Diajukan (FAQ)
Cloud vs local training?
Cloud is flexible but expensive long-term. Local training requires buying GPUs upfront (capex).
Is QLoRA cheaper?
Yes, QLoRA only fine-tunes adapters, costing roughly 1/10 of full training.