Can I Run Gemma 3 on NVIDIA GeForce RTX 3090?

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 marca 2025

Yes, comfortably — you'll have ~7.5 GB of headroom running Gemma 3 27B Instruct at Q4_K_M (16.5 GB, ~57 tok/s (est.)) with room for up to 4K context.

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Sprawdź cenę na Amazon — NVIDIA GeForce RTX 3090 24GB

NVIDIA GeForce RTX 3090 Specs

VRAM	24 GB
Memory Bandwidth	936 GB/s

Gemma 3 27B Instruct on the NVIDIA GeForce RTX 3090: VRAM by quantization

Quant	VRAM needed	Fits 24 GB?	Max context
F16	59 GB	✗ No	—
Q8_0	33.6 GB	✗ No	—
Q6_K	27.1 GB	✗ No	—
Q5_K_M	24.1 GB	✗ No	—
Q4_K_M	21.3 GB	✓ Yes	4K
Q3_K_M	16.5 GB	✓ Yes	8K
Q2_K	13.8 GB	✓ Yes	8K

VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Gemma 3 Sizes That Fit the NVIDIA GeForce RTX 3090

Gemma 3 27B Instruct	Q4_K_M · 16.5 GB · ~57 tok/s (est.)
Gemma 3 12B Instruct	Q4_K_M · 8.1 GB · ~116 tok/s (est.)
Gemma 3 4B Instruct	Q4_K_M · 3.8 GB · ~246 tok/s (est.)
Gemma 3 1B Instruct	Q4_K_M · 0.9 GB · ~400 tok/s (est.)

Buy vs. rent Gemma 3

Buy the GPU

~$1,499

NVIDIA GeForce RTX 3090 · MSRP

Rent by the hour

from $0.34/hr

RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 years.

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