🖥️ AI Tool

GPU VRAM Calculator

Estimate exact GPU memory requirements for deploying transformer models. Input parameters, precision, and batch configuration to get hardware-matched recommendations.

Model Parameters Config

Model Size (Billions of Parameters)

Numerical Precision

Inference Batch Size

Max Sequence Length (tokens)

KV Cache Overhead

GPU Reference Specs

GPU	VRAM	Tier
RTX 3060	12 GB	Consumer
RTX 4080	16 GB	Consumer
RTX 4090	24 GB	Prosumer
A10G	24 GB	Cloud
A100 40G	40 GB	Data Centre
A100 80G	80 GB	Data Centre
H100 SXM	80 GB	HPC
H100 NVL	94 GB	HPC
2× A100 80G	160 GB	Multi-GPU
4× A100 80G	320 GB	Multi-GPU
8× H100	640 GB	Cluster

💡 Rule of thumb: Always add 20–30% headroom above raw VRAM estimates for OS overhead, CUDA libraries, and peak memory spikes during inference.

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Estimated VRAM Required

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Model Weights

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KV Cache

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Activations

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Overhead

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Total + Buffer

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Min GPUs (A100 80G)

GPU Compatibility

GPU	VRAM	Fits?	Headroom