Gemma 2 9B Instruct VRAM Calculator

Official Gemma 2 9B Instruct model by Google. Calculate hardware limits, context VRAM usage, and local inference requirements.

LLM (Language Model)Developer: Google

Recommended GPU: RTX 3060 12GB / RTX 4060 Ti 16GB

Your GPU VRAM12 GB

Quantization

Active Context Length8,192 tokens

Estimated Total VRAM

9.38GB

VRAM Usage Ratio78% (9.38 / 12 GB)

Memory Allocation Breakdown

Model Weights5.46 GB

KV Cache2.63 GB

CUDA Runtime1.3 GB

✓ Verified: Ready to Run

+2.6 GB headroom remaining. Inference will run smoothly without memory bottlenecks.