GPU Training Cost Calculator

Estimate cloud GPU training time, cost, and CO2 emissions for machine learning model training.

Model Parameters (millions)

Training Epochs

Batch Size

GPU Type

Tab to move between fields

Estimated Training Time

0.5 hrs

Total Training Cost

$1.69

Cost per Hour$3.67

CO₂ Emissions0.1 kg

How to Use This Calculator

Enter Model Parameters (millions), Training Epochs, and Batch Size.
Select a GPU Type: NVIDIA T4 ($0.76/hr), NVIDIA A100 ($3.67/hr), or NVIDIA H100 ($8.50/hr).
Review Estimated Training Time (hrs) and Total Training Cost ($).
Use Cost per Hour ($) and CO₂ Emissions (kg) to inform your decision.

How the result changes with Model Parameters (millions)

Model Parameters (millions): Number of model parameters in millions (e.g., 125M for GPT-2 small)
Training Epochs: Number of complete passes through the training dataset
Batch Size: Number of samples processed per training step
GPU Type: Cloud GPU instance type — prices based on typical on-demand rates

Identify Input Parameters
4 parameters
Model Parameters (millions) = 100, Training Epochs = 3, Batch Size = 32, GPU Type = 2 = 4 input(s) provided
Calculate Estimated Training Time
Estimated Training Time
0.46 = 0.46
Calculate Total Training Cost
Total Training Cost
1.69 = $1.69
Calculate Cost per Hour
3.67 = $3.67

Engine last updated August 6, 2026. Checked against 2 independently-derived tests — how we verify calculators.

The questions that sit next to this one — chosen by subject, including calculators filed under a different category.

Estimate model inference latency, throughput, and memory requirements across CPU, GPU, and edge hardware.

Estimate monthly MLOps costs including training, serving, storage, and monitoring infrastructure.

Estimate minimum dataset size needed for machine learning models based on features, complexity, and accuracy targets.