Can I Run Gemma 3 on NVIDIA GeForce RTX 4080?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — Gemma 3 12B Instruct at Q4_K_M needs 11.1 GB at 8K context (7.2 GB weights + 3.9 GB KV cache/overhead), leaving ~4.9 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~65 tok/s (est.), with room for up to 16K context.
See what else this hardware can run →
或在 Vast.ai 比较，低至 $0.35/小时 (typical low · varies)
作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。
NVIDIA GeForce RTX 4080 Specs
| VRAM | 16 GB |
| Memory Bandwidth | 717 GB/s |
Gemma 3 12B Instruct on the NVIDIA GeForce RTX 4080: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 27.9 GB | ✗ No | — | — |
| Q8_0 | 16.6 GB | ✗ No | — | Build for this |
| Q6_K | 13.7 GB | ✓ Yes | 8K | — |
| Q5_K_M | 12.4 GB | ✓ Yes | 16K | Build for this |
| Q4_K_M | 11.1 GB | ✓ Yes | 16K | Build for this |
| Q3_K_M | 9 GB | ✓ Yes | 16K | — |
| Q2_K | 7.8 GB | ✓ Yes | 16K | — |
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 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 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 4080 (at 8K context)
| Gemma 3 12B Instruct | Q4_K_M · 11.1 GB at 8K context · ~65 tok/s (est.) |
| Gemma 3 4B Instruct | Q4_K_M · 4.4 GB at 8K context · ~148 tok/s (est.) |
| Gemma 3 1B Instruct | Q4_K_M · 2 GB at 8K context · ~277 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
Can I run Gemma 3 on the NVIDIA GeForce RTX 4080?
Yes, comfortably — Gemma 3 12B Instruct at Q4_K_M needs 11.1 GB at 8K context (7.2 GB weights + 3.9 GB KV cache/overhead), leaving ~4.9 GB of the NVIDIA GeForce RTX 4080's 16 GB, at ~65 tok/s (est.), with room for up to 16K context.
What's the best Gemma 3 size for the NVIDIA GeForce RTX 4080?
Gemma 3 12B Instruct at Q4_K_M quantization needs 11.1 GB at 8K context (7.2 GB weights + 3.9 GB KV cache/overhead), estimated ~65 tokens/sec, up to 16K context.
Every Gemma 3 size on the NVIDIA GeForce RTX 4080
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Gemma 3 27B Instruct | 25.4 GB | Does not fit | — |
| Gemma 3 12B Instruct | 11.1 GB | Runs | ~65 tok/s |
| Gemma 3 4B Instruct | 4.4 GB | Runs | ~148 tok/s |
| Gemma 3 1B Instruct | 2 GB | Runs | ~277 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 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 3 Model Page | NVIDIA GeForce RTX 4080 GPU Page | VRAM calculator | Check Your Hardware