LLM Inference Hardware Calculator

Calculate GPU memory requirements for large language model inference and hardware planning

Model Parameters (Billions)

Precision

GPU Model

Model Memory

671 GB

Inference Memory

67.1 GB

Total Memory Required

738.1 GB

Required GPUs

10 x NVIDIA H100

How to Use This LLM Inference Hardware Calculator

This LLM inference hardware calculator helps you determine the optimal GPU configuration for deploying large language models:

Model Parameters: Enter the size of your language model in billions (e.g., 7B, 13B, 70B)
Precision Format: Choose the precision (FP16, FP8, INT8, INT4) - lower precision reduces memory usage
GPU Selection: Select your target GPU model (H100, A100, RTX 4090, etc.)
Results: Get model memory, inference overhead, total VRAM requirements, and GPU count needed

Perfect for AI engineers, ML researchers, and companies planning LLM deployment infrastructure.