Can I Run Gemma 3 on NVIDIA GeForce RTX 4070 Ti Super?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~8.8 GB of headroom running Gemma 3 12B Instruct at Q4_K_M (7.2 GB, ~61 tok/s (est.)) with room for up to 16K context.
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NVIDIA GeForce RTX 4070 Ti Super Specs
| VRAM | 16 GB |
| Memory Bandwidth | 672 GB/s |
Gemma 3 12B Instruct on the NVIDIA GeForce RTX 4070 Ti Super: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 26.3 GB | ✗ No | — | — |
| Q8_0 | 15.1 GB | ✓ Yes | 4K | Build for this |
| Q6_K | 12.2 GB | ✓ Yes | 8K | — |
| Q5_K_M | 10.8 GB | ✓ Yes | 16K | Build for this |
| Q4_K_M | 9.6 GB | ✓ Yes | 16K | Build for this |
| Q3_K_M | 7.5 GB | ✓ Yes | 16K | — |
| Q2_K | 6.3 GB | ✓ Yes | 16K | — |
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 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 11.1 GB · 32K 20.4 GB ✗ · 128K 57.4 GB ✗. Past 32K 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 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 4070 Ti Super
| Gemma 3 12B Instruct | Q4_K_M · 7.2 GB · ~61 tok/s (est.) |
| Gemma 3 4B Instruct | Q4_K_M · 2.4 GB · ~142 tok/s (est.) |
| Gemma 3 1B Instruct | Q4_K_M · 0.6 GB · ~270 tok/s (est.) |
At 2 hrs/day, buying (~$799) beats renting at $0.34/hr after about 3.3 years.
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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 4070 Ti Super enough to run Gemma 3 locally?
Yes, comfortably — you'll have ~8.8 GB of headroom running Gemma 3 12B Instruct at Q4_K_M (7.2 GB, ~61 tok/s (est.)) with room for up to 16K context.
What's the best Gemma 3 size for the NVIDIA GeForce RTX 4070 Ti Super?
Gemma 3 12B Instruct at Q4_K_M quantization (7.2 GB), estimated ~61 tokens/sec, up to 16K context.
Every Gemma 3 size on the NVIDIA GeForce RTX 4070 Ti Super
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Gemma 3 27B Instruct | 16.3 GB | Does not fit | — |
| Gemma 3 12B Instruct | 7.2 GB | Runs | ~61 tok/s |
| Gemma 3 4B Instruct | 2.4 GB | Runs | ~142 tok/s |
| Gemma 3 1B Instruct | 0.6 GB | Runs | ~270 tok/s |
Gemma 3 on Other GPUs
- Gemma 3 on NVIDIA GeForce RTX 5080
- Gemma 3 on NVIDIA GeForce RTX 5070 Ti
- Gemma 3 on NVIDIA GeForce RTX 5060 Ti 16GB
- Gemma 3 on NVIDIA GeForce RTX 4080 Super
- Gemma 3 on NVIDIA GeForce RTX 4080
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VRAM Tier
Troubleshooting
Buying Guide
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