Run Gemma 3 27B
Ready in about 90 seconds. No install, no setup. From $0.89 per hour.
What it does
Gemma 3 27B sits between the small fast models and the large expensive ones. It is noticeably better than a 24 billion parameter model at longer reasoning, and noticeably cheaper than a 70 billion one.
It reads images alongside text and holds a context of about 128,000 tokens, which is a long report or a stack of contracts in one go.
It is a good default when you are not sure yet how hard your task is.
What you can ask it
Read this 200 page annual report and answer questions about it.
You get backHolds the whole document in context, so answers cite specific sections.
Here are 40 slide images. Write speaker notes for each.
You get backReads each slide and writes notes matched to what is actually on it.
Compare these three vendor proposals and recommend one.
You get backReturns a comparison table plus a recommendation with the reasoning shown.
Your setup
We run this on an L40S. It fits the model and a long document together, and writes at about 45 words per second. $0.89 per hour, billed by the minute.
Why this card?
Gemma 3 27B is about 16GB in its 4-bit form, which would fit a 24GB card easily. The reason we use a 48GB card is the context window. Filling 128,000 tokens of context costs roughly 20GB on top of the model, and running out of context memory mid-document is the most common way this model fails. The L40S has the headroom to avoid it.
- Memory
- 48GB
- Speed
- about 29 seconds per thousand words
- Rate
- $0.89/hr
What will it cost you?
Billed by the minute on a L40S at $0.89 per hour. A batch job shuts the GPU off when the last thousand words is done, so this is the whole cost.
Two ways to run it
Click and use it
A chat window with document and image upload.
Get early access Best for exploring.Hand us the whole pile
Spreadsheet in, spreadsheet out.
Join the list Best for volume. The GPU shuts off automatically when it is done.Model facts
| Parameters | 27B |
|---|---|
| License | Gemma Terms of Use |
| Memory required | 24GB minimum (4-bit), 48GB recommended for long documents |
| Base model | Trained from scratch by Google DeepMind |
| Publisher | Google DeepMind |
| Recommended hardware | L40S, 48GB |
| Hugging Face | google/gemma-3-27b-it |
Want Gemma 3 27B the day it opens?
We are testing the rental flow with a small group first. Leave an email and we will tell you when Gemma 3 27B is ready to run. One message, no newsletter.
Gemma 3 27B questions
Do I need to install anything to use Gemma 3 27B?
No. We start a machine with Gemma 3 27B already loaded and hand you a link. Everything runs in your browser, there is nothing to download, and nothing is left on your computer afterwards. It works the same on a Mac, a Windows laptop, or a Chromebook. A workspace is usually ready in about 90 seconds.
How much does it cost to run 150 thousand words written?
About $1.08. Gemma 3 27B takes about 29 seconds per thousand words on the L40S we recommend, so 150 thousand words written is roughly 73 minutes of GPU time at $0.89 per hour. Billing is by the minute, and a batch job shuts the GPU off the moment the last item finishes. The calculator above works this out for your own numbers.
Can I run Gemma 3 27B on a cheaper card?
Sometimes, and the calculator will not always make it look worth it. Gemma 3 27B is about 16GB in its 4-bit form, which would fit a 24GB card easily. The reason we use a 48GB card is the context window. Filling 128,000 tokens of context costs roughly 20GB on top of the model, and running out of context memory mid-document is the most common way this model fails. The L40S has the headroom to avoid it. If you want to try a different card anyway, the advanced catalog lets you pick one and shows the estimated time before you commit.
What are the license restrictions on Gemma 3 27B?
Gemma 3 27B is released under the Gemma Terms of Use. That is not a permissive license, so read it before you use the output in paid work. We show the license on every model page precisely because this catches people out, and there is usually a permissively licensed alternative in the same category.
What happens to my files after I stop?
Anything you save into your workspace folder stays in your account and is there when you come back. Everything else is destroyed: the machine is terminated and its disk is wiped. Batch job inputs and outputs are deleted from our storage 24 hours after you download them. We do not read your files or use them to train anything.
What if it fails partway through?
You are not charged for work that did not complete, and failed sessions are refunded automatically. Batch jobs write each output as it finishes rather than at the end, so a failure at item 380 of 400 leaves you 379 usable files and a message saying what broke. Restarting picks up where it stopped rather than redoing the work.
Own a GPU that sits idle? Put it to work. The average provider earns $180 to $420 per month per card.
List your GPU