Can the NVIDIA RTX 4090 run Gemma 3 27B?
Yes
QuantQ4_K_MGood, most popular
Memory21.4 GBof 24 GB
Speed~36tokens/s
Yes. The NVIDIA RTX 4090 can run Gemma 3 27B fully in VRAM at Q4_K_M (good, most popular), using about 21.4 GB of the 24 GB available, at roughly 36 tokens/second.
Try other context lengths in the calculator →Memory needed by quantization
At 8,192 tokens of context.
| Quant | Quality | Memory | Fits? | Speed |
|---|---|---|---|---|
| FP16 | Full quality | 59.6 GB | Too big | — |
| Q8_0 | Near-lossless | 33.9 GB | Too big | — |
| Q6_K | Excellent | 27.2 GB | Too big | — |
| Q5_K_M | Very good | 24.2 GB | Too big | — |
| Q4_K_M | Good, most popular | 21.4 GB | Fits | ~36 tok/s |
| Q3_K_M | Noticeably degraded | 18.2 GB | Fits | ~45 tok/s |
| Q2_K | Heavily degraded | 15 GB | Fits | ~59 tok/s |
How to run Gemma 3 27B on the NVIDIA RTX 4090
With Ollama installed, one command downloads and starts it:
ollama run gemma3:27bOllama's default download is Q4_K_M (about 21.4 GB here). That is also the best quant that fits.
GPUs that run Gemma 3 27B comfortably
- NVIDIA RTX 3090 (24 GB)
- AMD Radeon RX 7900 XTX (24 GB)
- Apple M2 Pro (32GB)
- NVIDIA RTX 5090 (32 GB)
- Apple M4 Pro (48GB)
Models that run well on the NVIDIA RTX 4090
Run it in the cloud
Don't want to buy hardware? Run Gemma 3 27B on a rented GPU today.
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