I am super excited to be part of the amazing fastai course. I love to invite you to try out Jarvislabs, which we have been working for more than 2 years. Jarvislabs makes it super simple to launch a GPU and CPU powered instances in few clicks.
Every instance comes with:
- Access to Jupyterlab & VScode
- Pause/Resume instances, scale storage & GPU as required
- Launch Gradio/Streamlit apps similar to this dino app
- SSH access
- Manage teams
- Different frameworks like PyTorch, Fastai, StableDiffusion, Tensorflow or use any docker image.
We support some of the modern Nvidia GPUs like
|RTX 5000 - 16GB||7||32GB||$0.49/hr||$0.19/hr|
|A5000 - 24GB||7||32GB||$ 0.59/hr||$0.39/hr|
|A6000 - 48GB||7||32GB||$ 0.99/hr||$0.59/hr|
|A100 - 40GB||7||32GB||$ 1.29/hr||$0.79/hr|
About Jarvislabs: Jarvislabs was started by me along with my friends. We are a team of 3.5 (my wife works part-time, as we have a cutie kid to take care of), bootstrapped, and based out of a small beautiful town in India.
We launched our earlier version in early 2021 and have been fortunate enough to have some of our early adopters from the fastai community. The feedback from the community and other users has helped us come a long way, I still remember waiting for our 1st recharge .
We would love to play a small role in your DL journey.
Credits We would love to offer you a credit of $100, to get the credits simply drop an email to
firstname.lastname@example.org with your fastai profile and a subject line of “fastai-part2”. Do not forget to signup here before sending us the email.
If you need any assistance or have suggestions while using the platform, you can simply ping us using the chat option available on the website. You can also tag me in the forums.
If you have any questions regarding Jarvislabs or our journey, would love to answer them.
The credits are available till the course is made public.