For the last few years, I have been learning and practicing Deep Learning. Participated in several Kaggle competitions and won few medals. During all these years, I tried several cloud platforms and on-premise systems. Some of them offered simplicity, flexibility, and affordability. But very few to none offered all of these in one platform.

After struggling with different platforms, I know what I would need as a DL researcher. That gave birth to jarvislabs.ai with the aim of being simple and affordable. I along with my friends started working on this project a year back. Due to Covid, executing the project became more challenging. As first-time entrepreneurs, we underestimated the complexity of the problem at hand but with persistence, we were able to launch a beta version of the product in December 2020.

With some of the amazing feedback from our early adopters, we have been able to make the product smoother. We would love to invite you all to come and try the platform.

Features

1. 1 click Jupyter Lab < [30 seconds]
2. Pause the instance and Resume from where you left.
3. SSH to the instance.
4. Scale GPUs, storage and change GPU type on resume.
5. Auto-Pause using jarviscloud.pause() in your code, so you can catch up some good night’s sleep while your model trains.
6. Pay per usage – Minute Billing [After first 15 minutes]
7. Competitive pricing [Lowest to our Knowledge].

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Pricing

|GPU Type|GPU RAM|Price -$/hr| |:-|:-|:-| |RTX 5000|16 GB|0.49| |RTX 6000|24 GB|0.99| |A100|40 GB|2.39|

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Talk to us

We will be happy to assist you in spinning your first instance and many more. You can use one of these platforms to reach us.

1. Chat option on cloud.jarvislabs.ai
2. Email us - hello@jarvislabs.ai
3. Comment here.

We have come a long way, but we understand that a lot more has to be done. We have listed down all the upcoming product features here. Deep learning and AI are evolving and how we would use the cloud platforms could evolve in the coming years. Understanding this, we develop in the open by constantly keeping in touch with our users.

Please help us in shaping Jarvislabs.ai with any valuable suggestions/feedback.