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Start fine-tuning and training models in < 10 minutes

Find, provision, and configure AI-ready cloud instances for dev, training, and deployment. Automatically install CUDA & Python, load the model, and SSH in.

Read the docs

Train a model to generate images

Fine-tune Dreambooth or Stable Diffusion to generate custom images of you, a product you're selling, or anything else.

Fine-tune your own LLM

Build your LLM by fine-tuning the Falcon language model on your own data.

Build a speech-to-text model

Fine-tune OpenAI's Whisper model on new data for your own speech-to-text model.

Aman
@_amankishore
@brevdev x @BananaDev_ is too OP of a setup 😍
Daniel Whitenack
@dwhitena
I had a delightful time setting up a #GPU-based dev environment... When's the last time you said that? 😀
John Simerlink
@johnsimerlink
@brevdev I just had the best developer experience and customer service I may have had with any product ever. I had spent hours trying to rent GPUs and configuring environments correctly. I stumbled across brev and 10 minutes later had it running and working locally
Rony
@ronyfadel
The auto-stop feature alone has saved me a fortune.
Aman
@_amankishore
Been using @brevdev for 5 min today and I’m sold! Brev makes it ridiculously easy to spin up spot instances for development (60% cheaper than on-demand), excited to save a lot more on dev costs this month!
Mitesh
@mitesh711
@brevdev's offering is very smooth. Don't have to care about underlying GPU/cloud at all.
Rony
@ronyfadel
Brev saved me so much time developing and deploying ML apps, compared to running jobs locally. With Brev, I don’t have to go through clunky AWS or GCP UI’s, spend an hour setting up an instance just to realize that GPU’s are not available in that region.
Jasper
@Jasperschoormns
Really recommend @brevdev for GPU programing. Your own powerful GPU server, but its cheap and so easy to set up. Couldn't do it locally

Official Partners

Trusted By Engineers From

Radically Better GPUs

Simple GPUs

Use Brev.dev to find a GPU and get it configured to fine-tune or train your model.

Get a GPU (or CPU).
A single interface between AWS, GCP, and Lambda GPU cloud. Use credits when you have them. Pick an instance based on costs & availability.
Setup Software.
CUDA just works. Dependencies installed properly. No more python environment issues.
Networking too.
A CLI to automatically update your SSH config ensuring it's done securely. Just run brev open instance-name to hop in

Introduction

Getting started

Build faster with a better dev environment. Brev connects to cloud providers to find you a GPU at the best price, configures it, and wraps SSH to connect your code editor to the remote machine. Quick start

Quick Start

Make a Brev account and your first instance.

Reference

Reference for higher level concepts, the CLI, instance types, etc.

Infrastructure How Tos

Change your instance, add or remove a GPU, add GB to your hard drive, etc.

Environment How Tos

Set up your environment to make sure your code always runs. Make it easy to share or clone.

Quick start

1. Create an account

Make an account in the Brev console.

2. Create your first instance

You can create your own instance from scratch or use a template. The console should give you a couple of template options.

For example, click here to create an instance with the Stable Diffusion template.

3. Connect to your instance and start coding

Brev wraps ssh to make it easy to hop into your instance, so with the CLI, run one of the following commands in your terminal.

To SSH your terminal into your dev instance:

brev shell stable-diffusion

or SSH VS Code into your instance with:

brev open stable-diffusion # ssh with vscode into your instance

That's it 🎉

Try creating your own instance here and reach out to us in the Discord for help! We're here for anything you need. Build something great. 🤙

Running instance might still be installing your dependencies

If the instace is running, that means it is available. If you have a lot of software dependencies, they might still be installing, so just give it a moment. We're currently working on a better way to surface this info.

Getting help

We want to create as many channels for help as possible; if you'd like a new channel, please let us know!

Join the community

Reach out to us in the Discord!

Send us a text message

You can chat with us at (415) 237-2247.

Shared Slack channel

Paid users get a prioritized shared Slack channel with our team!

Wanna work together?

Shoot us an email at partners@brev.dev.

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