# Can I run Gemma 3 27B on an RTX 4090? | What Can I Run AI?

> Yes. Gemma 3 27B at Q4_K_M needs about 20.1 GB; RTX 4090 has 24.0 GB usable. Estimated tokens/sec and context headroom.

Source: https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-4090/

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**Yes.** Gemma 3 27B at Q4\_K\_M needs about 20.1 GB, and the GeForce RTX 4090 has 24.0 GB usable at a \~4k context.

# Can I run Gemma 3 27B on an RTX 4090?

Gemma 3 27B at Q4\_K\_M needs about 20.1 GB, and the GeForce RTX 4090 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 1008 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](https://whatcanirunai.vercel.app/method/), 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

36–52 estimate

[gemma-3-27b-it](https://whatcanirunai.vercel.app/models/gemma-3-27b-it/) · [GeForce RTX 4090](https://whatcanirunai.vercel.app/hardware/rtx-4090/) · [Everything this machine runs](https://whatcanirunai.vercel.app/what-can-i-run/rtx-4090/) · [Q4 vs Q8 vs FP16](https://whatcanirunai.vercel.app/quantization/)

## Memory at each quant

| Quant    | Need vs 24.0 GB | Verdict       |
| -------- | --------------- | ------------- |
| Q4\_K\_M | 20.1 GB         | Q4Fits        |
| Q8\_0    | 34.5 GB         | Q8Won’t fit   |
| FP16     | 64.1 GB         | FP16Won’t fit |

## Estimated tokens per second

Estimate: **36–52 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](https://whatcanirunai.vercel.app/method/).

## 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](https://whatcanirunai.vercel.app/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](https://whatcanirunai.vercel.app/hardware/mac-mini-m5-pro-64/) has 48.0 GB usable, enough for Q8.
* See the [best GPU for this model family](https://whatcanirunai.vercel.app/best-gpu-for/gemma-3/) and the [gemma-3-27b-it model page](https://whatcanirunai.vercel.app/models/gemma-3-27b-it/).

## Other hardware for Gemma 3 27B

* [Gemma 3 27B on an RTX 3060 12GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-3060-12gb/)Won’t fit
* [Gemma 3 27B on an RTX 3070 Ti](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-3070-ti/)Won’t fit
* [Gemma 3 27B on an RTX 3080](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-3080-10gb/)Won’t fit
* [Gemma 3 27B on an RTX 3090](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-3090/)Fits
* [Gemma 3 27B on an RTX 4060 Ti 16GB](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-4060-ti-16gb/)Won’t fit
* [Gemma 3 27B on an RTX 4070 Ti Super](https://whatcanirunai.vercel.app/can-i-run/gemma-3-27b-it/rtx-4070-ti-super/)Won’t fit

## Other models on an RTX 4090

* [Qwen3-32B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/qwen3-32b/rtx-4090/)Tight
* [Qwen3-30B-A3B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/qwen3-30b-a3b/rtx-4090/)Tight
* [Qwen3.8-27B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/qwen3.8-27b/rtx-4090/)Fits
* [Gemma 4 31B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/gemma-4-31b-it/rtx-4090/)Tight
* [gpt-oss-20b on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/gpt-oss-20b/rtx-4090/)Fits
* [Mistral Small 24B on an RTX 4090](https://whatcanirunai.vercel.app/can-i-run/mistral-small-3.2-24b-instruct-2506/rtx-4090/)Fits

## Quick answers

Can I run Gemma 3 27B on an RTX 4090?

Yes. Gemma 3 27B at Q4\_K\_M needs about 20.1 GB, and the GeForce RTX 4090 has 24.0 GB usable.

How much VRAM does Gemma 3 27B need?

About 20.1 GB at Q4\_K\_M, 34.5 GB at Q8\_0 and 64.1 GB at FP16, estimated for a \~4k context.

How fast is Gemma 3 27B on an RTX 4090?

Our estimate is 36–52 tokens per second at Q4\_K\_M. It is not a measured benchmark.

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