Can I Run Gemma 3 on NVIDIA GeForce RTX 5070?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026

Yes, comfortably — you'll have ~4.8 GB of headroom running Gemma 3 12B Instruct at Q4_K_M (7.2 GB, ~57 tok/s (est.)) with room for up to 8K context.

See what else this hardware can run →

Buy This HardwareNVIDIA GeForce RTX 5070 12GB — 12 GB VRAM · 250 W board powerDeploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.

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 5070 12GB
12 GB VRAM · 250 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA GeForce RTX 5070 Specs

VRAM12 GB
Memory Bandwidth672 GB/s

Gemma 3 12B Instruct on the NVIDIA GeForce RTX 5070: VRAM by quantization

QuantVRAM neededFits 12 GB?Max contextWhole PC
F1626.3 GB✗ No
Q8_015.1 GB✗ NoBuild for this
Q6_K12.2 GB✗ No
Q5_K_M10.8 GB✓ Yes4KBuild for this
Q4_K_M9.6 GB✓ Yes8KBuild for this
Q3_K_M7.5 GB✓ Yes8K
Q2_K6.3 GB✓ Yes16K

Assumes a 4K-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 5070: 8K 11.1 GB · 32K 20.4 GB ✗ · 128K 57.4 GB ✗. Past 32K it no longer fits 12 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? Gemma 3 12B Instruct on 16 GB of system RAM, CPU only: runs, but it is tight.

Gemma 3 Sizes That Fit the NVIDIA GeForce RTX 5070

Gemma 3 12B InstructQ4_K_M · 7.2 GB · ~57 tok/s (est.)
Gemma 3 4B InstructQ4_K_M · 2.4 GB · ~134 tok/s (est.)
Gemma 3 1B InstructQ4_K_M · 0.6 GB · ~261 tok/s (est.)
Buy vs. rent Gemma 3
Buy the GPU
~$549
NVIDIA GeForce RTX 5070 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$549) beats renting at $0.34/hr after about 2.2 years.

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

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

Can I run Gemma 3 on the NVIDIA GeForce RTX 5070?

Yes, comfortably — you'll have ~4.8 GB of headroom running Gemma 3 12B Instruct at Q4_K_M (7.2 GB, ~57 tok/s (est.)) with room for up to 8K context.

What's the best Gemma 3 size for the NVIDIA GeForce RTX 5070?

Gemma 3 12B Instruct at Q4_K_M quantization (7.2 GB), estimated ~57 tokens/sec, up to 8K context.

Every Gemma 3 size on the NVIDIA GeForce RTX 5070

SizeVRAMVerdictSpeed
Gemma 3 27B Instruct16.3 GBDoes not fit
Gemma 3 12B Instruct7.2 GBRuns~57 tok/s
Gemma 3 4B Instruct2.4 GBRuns~134 tok/s
Gemma 3 1B Instruct0.6 GBRuns~261 tok/s

Gemma 3 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5070

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Gemma 3 Model Page | NVIDIA GeForce RTX 5070 GPU Page | Check Your Hardware