AI Hardware Requirement Calculator β Estimate GPU & Memory Needs
AI Hardware Requirement Calculator
How the AI Hardware Requirement Calculator Works
This calculator helps you find the right GPU and memory requirements for training or running AI models.
- Choose the model type β select architecture like Transformer, CNN, or RNN.
- Enter the number of model parameters β specify how big your model is in millions of parameters.
- Set the batch size β the number of samples processed simultaneously during training or inference.
- Optionally enter sequence length β relevant for NLP and LLMs (default is 128 tokens).
- Select precision mode β FP32 or FP16 for estimating memory reduction.
- Click βCalculateβ β the calculator will show:
- Estimated GPU VRAM required
- Recommended GPU models
- Warnings if the setup exceeds typical hardware limits
Use this tool to plan your hardware setup before starting your AI projects and avoid unexpected hardware limitations.
π» AI GPU Comparison Table β VRAM & Use Cases for Popular Models
| GPU Model | VRAM | Typical Use Cases |
|---|---|---|
| RTX 3060 / 4060 | 12GB | Small-to-medium CNNs, tabular ML, simple NLP models |
| RTX 4090 | 24GB | Mid-sized Transformers, LLM fine-tuning up to 7B |
| NVIDIA A40 / RTX 6000 Ada | 48GB | Training large NLP/CV models, inference of 13B LLMs |
| NVIDIA A100 | 40GBβ80GB | Training large-scale Transformers, inference of 30B+ LLMs |
| NVIDIA H100 | 80GB | State-of-the-art training of massive LLMs, distributed ML workloads |