Can I Run Gemma 4 on NVIDIA GeForce RTX 3090?

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

Written by Jakub Rusinowski · Last updated June 3, 2026

Yes, comfortably — you'll have ~6 GB of headroom running Gemma 4 31B at Q4_K_M (18 GB, ~52 tok/s (est.)).

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Check price on Amazon — NVIDIA GeForce RTX 3090 24GB

NVIDIA GeForce RTX 3090 Specs

VRAM	24 GB
Memory Bandwidth	936 GB/s

Gemma 4 31B on the NVIDIA GeForce RTX 3090: VRAM by quantization

Quant	VRAM needed	Fits 24 GB?	Max context
F16	72.7 GB	✗ No	—
Q8_0	43.7 GB	✗ No	—
Q6_K	36.1 GB	✗ No	—
Q5_K_M	32.7 GB	✗ No	—
Q4_K_M	29.4 GB	✗ No	—
Q3_K_M	23.9 GB	✓ Yes	4K
Q2_K	20.9 GB	✓ Yes	4K

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 4 Sizes That Fit the NVIDIA GeForce RTX 3090

Gemma 4 31B	Q4_K_M · 18 GB · ~52 tok/s (est.)
Gemma 4 26B-A4B	Q4_K_M · 16 GB · ~380 tok/s (est.)
Gemma 4 12B (Unified)	Q4_K_M · 10 GB · ~94 tok/s (est.)
Gemma 4 E4B	Q4 (QAT) · 5.5 GB · ~170 tok/s (est.)
Gemma 4 E2B	Q4 (QAT) · 5 GB · ~187 tok/s (est.)

Buy vs. rent Gemma 4

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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