Can I Run Gemma 4 on NVIDIA GeForce RTX 3060 (12GB)?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, comfortably — Gemma 4 12B (Unified) at Q4_K_M needs 8.7 GB at 8K context (7.2 GB weights + 1.5 GB KV cache/overhead), leaving ~3.3 GB of the NVIDIA GeForce RTX 3060 (12GB)'s 12 GB, at ~27 tok/s (est.), with room for up to 64K context.

See what else this hardware can run →

Kup ten sprzęt NVIDIA GeForce RTX 3060 12GB — 12 GB VRAM · 170 W board powerUruchom w chmurze RTX 4090 w RunPod — od $0.34/godz. · stawka sprawdzona 2026-07

lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

NVIDIA GeForce RTX 3060 12GB
12 GB VRAM · 170 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 3060 (12GB) Specs

VRAM12 GB
Memory Bandwidth360 GB/s

Gemma 4 12B (Unified) on the NVIDIA GeForce RTX 3060 (12GB): VRAM by quantization

QuantVRAM neededFits 12 GB?Max contextWhole PC
F1625.4 GB✗ No——
Q8_014.2 GB✗ No——
Q6_K11.3 GB✓ Yes32K—
Q5_K_M9.9 GB✓ Yes64K—
Q4_K_M8.7 GB✓ Yes64K—
Q3_K_M6.6 GB✓ Yes64K—
Q2_K5.4 GB✓ Yes64K—

Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 12 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 3060 (12GB): 8K 8.7 GB · 32K 9.1 GB · 125K 10.6 GB. Every window this model publishes still fits 12 GB.

No compatible GPU? Gemma 4 12B (Unified) on 16 GB of system RAM, CPU only: runs.

Gemma 4 Sizes That Fit the NVIDIA GeForce RTX 3060 (12GB) (at 8K context)

Gemma 4 12B (Unified)Q4_K_M · 8.7 GB at 8K context · ~27 tok/s (est.)
Gemma 4 E4BQ4 (QAT) · 6.4 GB at 8K context · ~40 tok/s (est.)
Gemma 4 E2BQ4 (QAT) · 4.7 GB at 8K context · ~58 tok/s (est.)
Buy vs. rent Gemma 4
Buy the GPU
~$329
NVIDIA GeForce RTX 3060 (12GB) · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$329) beats renting at $0.34/hr after about 16 months.

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RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Is the NVIDIA GeForce RTX 3060 (12GB) enough to run Gemma 4 locally?

Yes, comfortably — Gemma 4 12B (Unified) at Q4_K_M needs 8.7 GB at 8K context (7.2 GB weights + 1.5 GB KV cache/overhead), leaving ~3.3 GB of the NVIDIA GeForce RTX 3060 (12GB)'s 12 GB, at ~27 tok/s (est.), with room for up to 64K context.

What's the best Gemma 4 size for the NVIDIA GeForce RTX 3060 (12GB)?

Gemma 4 12B (Unified) at Q4_K_M quantization needs 8.7 GB at 8K context (7.2 GB weights + 1.5 GB KV cache/overhead), estimated ~27 tokens/sec, up to 64K context.

Every Gemma 4 size on the NVIDIA GeForce RTX 3060 (12GB)

SizeVRAM at 8KVerdictSpeed
Gemma 4 31B21.4 GBDoes not fit—
Gemma 4 26B-A4B17 GBRuns at Q2_K—
Gemma 4 12B (Unified)8.7 GBRuns~27 tok/s
Gemma 4 E4B6.4 GBRuns~40 tok/s
Gemma 4 E2B4.7 GBRuns~58 tok/s

Gemma 4 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 3060 (12GB)

VRAM Tier

Troubleshooting

Buying Guide

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