Can I Run Gemma 4 on NVIDIA GeForce RTX 4080?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — Gemma 4 12B (Unified) at Q4_K_M needs 9.4 GB at 8K context (7.2 GB weights + 2.2 GB KV cache/overhead), leaving ~6.6 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~71 tok/s (est.), with room for up to 32K context.
See what else this hardware can run →
lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)
Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.
NVIDIA GeForce RTX 4080 Specs
| VRAM | 16 GB |
| Memory Bandwidth | 717 GB/s |
Gemma 4 12B (Unified) on the NVIDIA GeForce RTX 4080: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 26.1 GB | ✗ No | — | — |
| Q8_0 | 14.9 GB | ✓ Yes | 8K | — |
| Q6_K | 11.9 GB | ✓ Yes | 32K | — |
| Q5_K_M | 10.6 GB | ✓ Yes | 32K | — |
| Q4_K_M | 9.4 GB | ✓ Yes | 32K | — |
| Q3_K_M | 7.2 GB | ✓ Yes | 32K | — |
| Q2_K | 6.1 GB | ✓ Yes | 64K | — |
Assumes an 8K-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 4080: 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 4080 (at 8K context)
| Gemma 4 12B (Unified) | Q4_K_M · 9.4 GB at 8K context · ~71 tok/s (est.) |
| Gemma 4 E4B | Q4 (QAT) · 6.4 GB at 8K context · ~101 tok/s (est.) |
| Gemma 4 E2B | Q4 (QAT) · 4.7 GB at 8K context · ~137 tok/s (est.) |
At 2 hrs/day, buying (~$1,199) beats renting at $0.34/hr after about 4.9 years.
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.
FAQ
Will Gemma 4 run on the NVIDIA GeForce RTX 4080?
Yes, comfortably — Gemma 4 12B (Unified) at Q4_K_M needs 9.4 GB at 8K context (7.2 GB weights + 2.2 GB KV cache/overhead), leaving ~6.6 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~71 tok/s (est.), with room for up to 32K context.
Which Gemma 4 variant fits best on the NVIDIA GeForce RTX 4080?
Gemma 4 12B (Unified) at Q4_K_M quantization needs 9.4 GB at 8K context (7.2 GB weights + 2.2 GB KV cache/overhead), estimated ~71 tokens/sec, up to 32K context.
Every Gemma 4 size on the NVIDIA GeForce RTX 4080
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Gemma 4 31B | 21.3 GB | Runs at Q3_K_M | — |
| Gemma 4 26B-A4B | 18.2 GB | Runs at Q3_K_M | — |
| Gemma 4 12B (Unified) | 9.4 GB | Runs | ~71 tok/s |
| Gemma 4 E4B | 6.4 GB | Runs | ~101 tok/s |
| Gemma 4 E2B | 4.7 GB | Runs | ~137 tok/s |
Gemma 4 on Other GPUs
- Gemma 4 on NVIDIA GeForce RTX 5080
- Gemma 4 on NVIDIA GeForce RTX 5070 Ti
- Gemma 4 on NVIDIA GeForce RTX 5060 Ti 16GB
- Gemma 4 on NVIDIA GeForce RTX 4080 Super
- Gemma 4 on NVIDIA GeForce RTX 4070 Ti Super
Popular Models on the NVIDIA GeForce RTX 4080
- DeepSeek R1 on NVIDIA GeForce RTX 4080
- Qwen 3 on NVIDIA GeForce RTX 4080
- Qwen 2.5 Family on NVIDIA GeForce RTX 4080
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Gemma 4 Model Page | NVIDIA GeForce RTX 4080 GPU Page | VRAM calculator | Check Your Hardware