Can the NVIDIA RTX 3080 Ti run Gemma 3 27B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Gemma 3 27B fits on the NVIDIA RTX 3080 Ti at Q2_K, which costs noticeable quality. Expect about 53 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default gemma3:27b download is Q4_K_M, which needs about 18.3 GB, more than the 12 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.
New to this? Step-by-step setup for the RTX 3080 Ti
Run it in the cloud
Want full quality? Run Gemma 3 27B on a bigger rented GPU.
Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.
Memory needed by quantization
At 8,192 tokens of context. The black line marks the 12 GB the NVIDIA RTX 3080 Ti can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 56.5 GB | Too big | — | |
| Q8_0 | Near-lossless | 30.8 GB | Too big | — | |
| Q6_K | Excellent | 24.2 GB | Too big | — | |
| Q5_K_M | Very good | 21.2 GB | Too big | — | |
| Q4_K_M | Good, most popular | 18.3 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 15.1 GB | Too big | — | |
| Q2_K | Heavily degraded | 12 GB | Fits | ~53 tok/s |
Measured speed from real RTX 3080 Ti owners
Tokens per second that people measured on their own NVIDIA RTX 3080 Ti, next to our estimate.
No one has measured Gemma 3 27B on the NVIDIA RTX 3080 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 3080 Ti? Add your real speed
One command times Gemma 3 27B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.
macOS and Linux
curl -fsSL https://gpufit.dev/bench.sh | sh -s -- gemma3:27bWindows (PowerShell)
$env:GPUFIT_MODEL="gemma3:27b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Gemma 3 27B comfortably
Frequently asked questions
Can NVIDIA RTX 3080 Ti run Gemma 3 27B?
Only just. Gemma 3 27B fits on the NVIDIA RTX 3080 Ti at Q2_K, which costs noticeable quality. Expect about 53 tokens/second. A card with more memory is a better experience.
How much VRAM does Gemma 3 27B need?
About 18.3 GB at Q4_K_M with 8,192 tokens of context, and about 56.5 GB at full FP16 precision.
How fast is Gemma 3 27B on the NVIDIA RTX 3080 Ti?
Roughly 53 tokens per second at Q2_K, estimated from the NVIDIA RTX 3080 Ti's 912 GB/s memory bandwidth.