Home / Can I run it? / Gemma 3 27B / Gemma 3 27B on an RTX 3090

Yes. Gemma 3 27B at Q4_K_M needs about 20.1 GB, and the GeForce RTX 3090 has 24.0 GB usable at a ~4k context.

Can I run Gemma 3 27B on an RTX 3090?

Gemma 3 27B at Q4_K_M needs about 20.1 GB, and the GeForce RTX 3090 has 24.0 GB usable. That figure is 24 GB of VRAM on the spec sheet, of which 24.0 GB is usable for weights and cache, at 936 GB/s memory bandwidth. Google’s larger Gemma 3 instruct model, in the same memory band as other mid-20B dense models. These are estimates from our formula, not measured benchmarks.

Quant that fits

Q4_K_M Fits with headroom

Memory needed

20.1 GB at Q4_K_M, ~4k context

Usable VRAM

24.0 GB of 24 GB VRAM

Est. tokens/sec

34–48 estimate

gemma-3-27b-it · GeForce RTX 3090 · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

Estimated tokens per second

Estimate: 34–48 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.

Context headroom

We do not have a published KV config for this model, so the memory need is the ~4k-context estimate only. Use the VRAM calculator to explore longer chats.

What to do instead

• Q8_0 needs 34.5 GB and does not fit here. The Mac mini M5 Pro 64GB has 48.0 GB usable, enough for Q8.
• See the best GPU for this model family and the gemma-3-27b-it model page.

Other hardware for Gemma 3 27B

• Gemma 3 27B on an RTX 3060 12GBWon’t fit
• Gemma 3 27B on an RTX 3070 TiWon’t fit
• Gemma 3 27B on an RTX 3080Won’t fit
• Gemma 3 27B on an RTX 4060 Ti 16GBWon’t fit
• Gemma 3 27B on an RTX 4070 Ti SuperWon’t fit
• Gemma 3 27B on an RTX 4090Fits

Other models on an RTX 3090

• Qwen3-32B on an RTX 3090Tight
• Qwen3-30B-A3B on an RTX 3090Tight
• Qwen3.8-27B on an RTX 3090Fits
• Gemma 4 31B on an RTX 3090Tight
• gpt-oss-20b on an RTX 3090Fits
• Mistral Small 24B on an RTX 3090Fits