Can I Run Gemma 4 on NVIDIA GeForce RTX 4070 Ti Super?

Written by Jakub Rusinowski · Last updated July 12, 2026

Yes, comfortably — you'll have ~8.8 GB of headroom running Gemma 4 12B (Unified) at Q4_K_M (7.2 GB, ~67 tok/s (est.)) with room for up to 32K context.

See what else this hardware can run →

Buy This HardwareNVIDIA GeForce RTX 4070 Ti Super 16GB — 16 GB VRAM · 285 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)

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NVIDIA GeForce RTX 4070 Ti Super 16GB
16 GB VRAM · 285 W board power
2026 prices are volatile — check the current listing.
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NVIDIA GeForce RTX 4070 Ti Super Specs

VRAM16 GB
Memory Bandwidth672 GB/s

Gemma 4 12B (Unified) on the NVIDIA GeForce RTX 4070 Ti Super: VRAM by quantization

QuantVRAM neededFits 16 GB?Max contextWhole PC
F1625.5 GB✗ No
Q8_014.2 GB✓ Yes8K
Q6_K11.3 GB✓ Yes32K
Q5_K_M10 GB✓ Yes32K
Q4_K_M8.7 GB✓ Yes32K
Q3_K_M6.6 GB✓ Yes32K
Q2_K5.4 GB✓ Yes64K

Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 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 4070 Ti Super: 8K 9.4 GB · 32K 13.3 GB · 125K 28.5 GB ✗. Past 125K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

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

Gemma 4 Sizes That Fit the NVIDIA GeForce RTX 4070 Ti Super

Gemma 4 12B (Unified)Q4_K_M · 7.2 GB · ~67 tok/s (est.)
Gemma 4 E4BQ4 (QAT) · 4.5 GB · ~96 tok/s (est.)
Gemma 4 E2BQ4 (QAT) · 2.9 GB · ~131 tok/s (est.)
Buy vs. rent Gemma 4
Buy the GPU
~$799
NVIDIA GeForce RTX 4070 Ti Super · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$799) beats renting at $0.34/hr after about 3.3 years.

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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

Does the NVIDIA GeForce RTX 4070 Ti Super have enough VRAM for Gemma 4?

Yes, comfortably — you'll have ~8.8 GB of headroom running Gemma 4 12B (Unified) at Q4_K_M (7.2 GB, ~67 tok/s (est.)) with room for up to 32K context.

Which quantization of Gemma 4 should I use on the NVIDIA GeForce RTX 4070 Ti Super?

Gemma 4 12B (Unified) at Q4_K_M quantization (7.2 GB), estimated ~67 tokens/sec, up to 32K context.

Every Gemma 4 size on the NVIDIA GeForce RTX 4070 Ti Super

SizeVRAMVerdictSpeed
Gemma 4 31B18.7 GBRuns at Q2_K
Gemma 4 26B-A4B15.7 GBRuns at Q3_K_M
Gemma 4 12B (Unified)7.2 GBRuns~67 tok/s
Gemma 4 E4B4.5 GBRuns~96 tok/s
Gemma 4 E2B2.9 GBRuns~131 tok/s

Gemma 4 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4070 Ti Super

VRAM Tier

Troubleshooting

Buying Guide

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