Can I Run Gemma 2 Family on NVIDIA GeForce RTX 4070 Super?

作者: Jakub Rusinowski · 最后更新: 2026年9月29日

Yes, comfortably — Gemma 2 9B IT at Q4_K_M needs 8.4 GB at 8K context (5.4 GB weights + 3 GB KV cache/overhead), leaving ~3.6 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~59 tok/s (est.), with room for up to 8K context.

See what else this hardware can run →

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NVIDIA GeForce RTX 4070 Super 12GB
12 GB VRAM · 220 W board power
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NVIDIA GeForce RTX 4070 Super Specs

VRAM12 GB
Memory Bandwidth504 GB/s

Gemma 2 9B IT on the NVIDIA GeForce RTX 4070 Super: VRAM by quantization

QuantVRAM neededFits 12 GB?Max contextWhole PC
F1621 GB✗ No——
Q8_012.6 GB✗ No——
Q6_K10.4 GB✓ Yes8K—
Q5_K_M9.4 GB✓ Yes8K—
Q4_K_M8.4 GB✓ Yes8K—
Q3_K_M6.8 GB✓ Yes8K—
Q2_K6 GB✓ Yes8K—

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.

Superseded model. Gemma 2 Family has been superseded by Gemma 4. This page is kept for reference; the newer family is a better starting point. Can I run Gemma 4 on NVIDIA GeForce RTX 4070 Super? →

No compatible GPU? Gemma 2 9B IT on 16 GB of system RAM, CPU only: runs, but it is tight.

Gemma 2 Family Sizes That Fit the NVIDIA GeForce RTX 4070 Super (at 8K context)

Gemma 2 9B ITQ4_K_M · 8.4 GB at 8K context · ~59 tok/s (est.)
Buy vs. rent Gemma 2 Family
Buy the GPU
~$599
NVIDIA GeForce RTX 4070 Super · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$599) beats renting at $0.34/hr after about 2.4 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 Super have enough VRAM for Gemma 2 Family?

Yes, comfortably — Gemma 2 9B IT at Q4_K_M needs 8.4 GB at 8K context (5.4 GB weights + 3 GB KV cache/overhead), leaving ~3.6 GB of the NVIDIA GeForce RTX 4070 Super's 12 GB, at ~59 tok/s (est.), with room for up to 8K context.

Which quantization of Gemma 2 Family should I use on the NVIDIA GeForce RTX 4070 Super?

Gemma 2 9B IT at Q4_K_M quantization needs 8.4 GB at 8K context (5.4 GB weights + 3 GB KV cache/overhead), estimated ~59 tokens/sec, up to 8K context.

Gemma 2 Family on Other GPUs

Popular Models on the NVIDIA GeForce RTX 4070 Super

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Gemma 2 Family Model Page | NVIDIA GeForce RTX 4070 Super GPU Page | VRAM calculator | Check Your Hardware