Can I Run It?

Instantly verify if your GPU can run AI models like Llama 4, DeepSeek, Qwen, and more. Calculate VRAM requirements and find the optimal deployment configuration.

Compatibility Checker

Select GPU

Select AI Model

Quantization

Context Length

Popular Models

Llama 4 MaverickLlama 3.1 405BLlama 3.1 70BLlama 3 70BLlama 3 8BDeepSeek V3

Popular GPUs

RTX 5090RTX 5080RTX 5070 TiRTX 5070RTX 5060 TiRTX 5060

VRAM Calculator

Precise VRAM requirement calculations with detailed breakdowns for model weights, KV cache, and system overhead.

Quantization Analysis

Compare all quantization options from FP16 to Q2_K. See VRAM savings, speed estimates, and quality impact at a glance.

GPU Rankings

Comprehensive database of 50+ GPUs across consumer, workstation, and datacenter categories with detailed specs.

Model Database

Track 70+ AI models from Llama, DeepSeek, Qwen, Mistral, and more with release dates and architecture details.

GPUs in Database

32 Consumer

AI Models

69B Avg Params

Quantization Options

FP32 to Q2_K

192GB

Max VRAM

AMD MI300X

How It Works

Our calculator uses industry-standard formulas to estimate VRAM requirements and predict inference performance for AI models.

Select Hardware & Model

Choose your GPU and the AI model you want to run from our comprehensive database.

Configure Settings

Adjust quantization level and context length to match your use case.

Get Results

See if your setup can run the model, with detailed VRAM breakdowns and recommendations.

The Math Behind It

VRAM_total = (P × b/8 × 1.2) + KV_cache

P = Parameters (in billions)

b = Bits per parameter

1.2 = System overhead factor (20%)

KV_cache = Key-Value cache for attention