Resource Calculator

LLM Resource Calculator

Calculate the GPU memory requirements for running large language models locally. Find out if your hardware can handle your favorite AI models.

Hardware Configuration

1
2 GB

Model Configuration

0/3

Context Configuration

20%

Additional memory overhead for key-value cache operations. Higher values provide more safety margin.

Memory Allocation

Moderate
77.7%Used
Model16.0GB
KV Cache0.6GB
Activations0.1GB
Overhead2.0GB
Free5.4GB

VRAM Usage

77.7%
Total VRAM:24 GB
Used:18.6 GB
Available:5.3 GB
Headroom:22.3%
Tokens/Second

~31.5

Excellent

Time to First Token

~3251ms

estimated

Time for 100 Tokens

~3.2s

estimated

Batch Throughput

~31.5

tokens/sec (batch)

Max Concurrent

9

requests

Recommended Batch

8

optimal

Detailed Statistics

Total VRAM Available
24 GB
Model Memory Required
16.00 GB
KV Cache0.60 GB
Activations Memory0.05 GB
System Overhead2 GB
Memory per Layer0.500 GB
Total Used Memory18.65 GB
Available Memory5.35 GB

Frequently Asked Questions