Fast.ai course and community are super special for me as my DL journey started with 1st version of the fastai course and a lot of brave hearts from the fastai community became early adopters of Jarvislabs.ai when we launched our 1st version last year.
Jarvislabs.ai is a bootstrapped startup founded by me, and my friends (4 people team), and we are based out of a small town in India. The goal of Jarvislabs.ai is to help people coming from different domains to focus on AI/DL and not worry about managing the infra woes.
All it takes is a few clicks and < 30 seconds for your instance to be ready and you can focus on building your favorite AI models.
The feedback from our early adopters helped us in improving the platform, and we have come a long way. I want to invite you all to try out Jarvislabs.ai a GPU cloud platform.
Would love to hear your experiences and any suggestions/feedback.
If you are signing into Jarvislabs.ai, please fill out this form, I will add a $20 credit and a 30% discount on all the GPU types.
As a Marvel I love the name too , but the name comes with a lot of challenges, particularly with SEO, there are too many companies with the same name. Hope Marvel does not ask us to change the name, as they did with Jarvis.ai/Jasper.ai
I solved this by deleting all OpenCV traces from the system and re-installing it again. But the problem is that after restarting an instance, I need to redo it again, and it seems that the env is re-installed. Could you please help a bit to understand why it happens?
We have fixed the Open CV2 issue. Now you can import it without any issue.
When you restart an instance, it starts with a fresh instance which will not have any installations you did earlier. We used to save the states earlier, but faced some limitations with that approach. So we stopped saving the states. You can use a startup script to install any new libraries you want on instance start.
Yeah, I was thinking to go with startup scripts in case if error persists. Currently, I just use pip install ... as the first line in a notebook to “refresh” the dependencies. But the script is great, will definitely use it.