Can I Run Gemma 4 31B on NVIDIA GeForce RTX 4070 Ti Super?
作者： Jakub Rusinowski · 最后更新： 2026年9月19日
Not at Q4_K_M — that needs 18.7 GB and the NVIDIA GeForce RTX 4070 Ti Super has 16 GB. Drop to Q2_K and it fits in 12.8 GB, with up to 16K of context.
Get a personalized upgrade path →
The numbers
| Model | Gemma 4 31B |
| Parameters | 31B |
| Quantization | Q4_K_M |
| VRAM needed | 18.7 GB |
| NVIDIA GeForce RTX 4070 Ti Super VRAM | 16 GB |
| Verdict | Runs at a lower quant |
| Fits at | Q2_K (12.8 GB) |
| Max context | 16K |
Gemma 4 31B on the NVIDIA GeForce RTX 4070 Ti Super: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 63.7 GB | ✗ No | — | — |
| Q8_0 | 34.6 GB | ✗ No | — | Build for this |
| Q6_K | 27.1 GB | ✗ No | — | — |
| Q5_K_M | 23.7 GB | ✗ No | — | Build for this |
| Q4_K_M | 20.4 GB | ✗ No | — | Build for this |
| Q3_K_M | 14.9 GB | ✓ Yes | 8K | — |
| Q2_K | 11.9 GB | ✓ Yes | 16K | — |
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 21.3 GB ✗ · 32K 26.8 GB ✗ · 128K 48.5 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
What to do next
Quantize to Q2_K. That is the cheapest fix — it costs some quality but no money.
No compatible GPU? Gemma 4 31B on 32 GB of system RAM, CPU only: runs comfortably.
Running Gemma 4 31B on this card:
Gemma 4 31B needs ~19 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Other Gemma 4 sizes on the NVIDIA GeForce RTX 4070 Ti Super
- Gemma 4 26B-A4B — runs at a lower quant (15.7 GB)
- Gemma 4 12B (Unified) — runs (7.2 GB)
- Gemma 4 E4B — runs (4.5 GB)
- Gemma 4 E2B — runs (2.9 GB)
Gemma 4 31B on nearby hardware
- Intel Arc B580 (12 GB) — does not fit
- AMD Radeon RX 7900 XT (20 GB) — runs at a lower quant
All Gemma 4 sizes on the NVIDIA GeForce RTX 4070 Ti Super | Gemma 4 31B model page | NVIDIA GeForce RTX 4070 Ti Super GPU page | Check your hardware