Brev.dev Blog
brev.dev · Company blog · on HN since 2022
Blog of Brev.dev, a cloud GPU service, with guides on fine-tuning models, Stable Diffusion and Go development.
What HN saysHN commenters mostly mention Brev as a way to rent cloud GPUs and use cloud dev environments, with one noting no affiliation.
15HN people shared it
9linked it in comments
17stories submitted
91story points
2 years agolast shared
2022people per year2026
Most-shared posts
- 1Brev: Start fine-tuning and training models in < 10 minutes8 people · 1 points · first shared 2022 · discussion on HN
- 2Don't Let a Bad Abstraction Cost You 2 Years2 people · 19 points · first shared 2022 · 1 comments on HN
- 3Automatically setup Dreambooth on a GPU environment2 people · 3 points · first shared 2022 · discussion on HN
- 4Our experience upgrading from go v1.17 to v1.18 for generics1 people · 21 points · first shared 2022 · 4 comments on HN
- 5A simple guide to fine tuning Llama 2 on your own data1 people · 15 points · first shared 2023 · 1 comments on HN
- 6Run Stable Diffusion in 4 minutes1 people · 9 points · first shared 2022 · 5 comments on HN
- 7Generate secret messages in images with ControlNet Stable Diffusion WebUI1 people · 5 points · first shared 2023 · 1 comments on HN
- 8How Much Does It Cost to Train a Large Language Model? A Guide1 people · 4 points · first shared 2023 · discussion on HN
- 9A simple guide to fine-tuning Llama 21 people · 4 points · first shared 2023 · discussion on HN
- 10Run Stable LM with Brev1 people · 3 points · first shared 2023 · discussion on HN
- 11Using Brev to decrease our AWS instance costs by up to 94%1 people · 3 points · first shared 2022 · discussion on HN
- 12How to easily run Falcon-40B1 people · 2 points · first shared 2023 · discussion on HN
- 13The no-BS guide to fine tuning an LLM1 people · 1 points · first shared 2023 · 1 comments on HN
- 14How QLoRA works to fine-tune large models with small GPUs1 people · 1 points · first shared 2023 · discussion on HN
- 15The no bs guide to fine tuning an llm1 people · first shared 2023
What HN people wrote when they linked it
izuchukwu · 2023-05-23
You should check out https://brev.dev. You can rent GPUs, pause instances, use your own AWS/GCP accounts to make use of your credits, and the CLI lets you use your GPU as if it’s on your local machine.
ronyfadel · 2022-12-28
R.I.P. battery.
Personally I've been using Brev [1] to do my cloud training, you get a cloud GPU instance that you can upgrade/downgrade on the fly, and makes supports VS Code out of the box.
[1] https://brev.dev/
(I'm not affiliated with Brev)
someguy101010 · 2022-02-10
I feel your pain,
I try to mitigate this as much as possible with templating projects. I use https://gitlab.com/reedrichards/cookiecutter-goapp for small webservers and this generates the infra i need for aws, and go has been a relatively simple development and packaging platform for me.
I am also working at https://brev.dev and have been using their product at work and on personal projects to help standardize my development environment well. I often found myself at other companies constantly fire fighting developer environments falling into entropy and wishing for something like this so we can not having to worry about the different configurations of N developers * M machines.
*edited to make link clickable
naderkhalil · 2022-02-10
This is a huge pain, mostly stemming from using the same computer for different projects, because dependencies start to conflict. Big companies (fb, google, workday) solve this with cloud-hosted dev environments. Cloud environments let me contribute to our code base as a technical founder without having to have the technical expertise of a CTO. I'd rather not go back because while I know how to code, I'd rather not spend time configuring dev environments if someone can just share theirs with me. (disclaimer: I work at https://brev.dev)
jeron · 2023-05-03
also, https://brev.dev/
punkspider · 2023-01-22
I think there's https://brev.dev and https://banana.dev
jasonjmcghee · 2024-04-04
The approach I see used is axolotl with QLoRA using cloud GPUs which can be quite cheap.
https://github.com/OpenAccess-AI-Collective/axolotl
Someone from one of the cloud GPU vendors wrote a guide: https://brev.dev/blog/fine-tuning-mistral
ignoramous · 2024-02-14
> What about alternatives?
Custom models? Apart from the Big 3 (in no particular order):
- https://together.ai/
- https://replicate.com/
- https://anyscale.com/
- https://baseten.co/
- https://modal.com/
- https://banana.dev/
- https://runpod.io/
- https://bentoml.com/
- https://brev.dev/
- https://octo.ai/
- https://cerebrium.ai/
...
sp332 · 2023-05-08
404
Link should be https://brev.dev/blog/the-no-bs-guide-to-fine-tuning-an-llm