JarvisCloud

Training DL models need not be expensive or complicated.

1 follower

Training DL models need not be expensive or complicated.

1 follower

1 👆 GPU platform that offers optimized deep learning instances in less than 30 seconds at unseen prices. You can also 🚀 Scale GPUs 🚀 Change GPU type 🚀 Change Storage 🚀 Pause programatically. on any of your instances in few clicks.

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Launch tags:Developer Tools•Artificial Intelligence•Tech

Launch Team

Tines — The intelligent workflow platform

The intelligent workflow platform

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Maker

👋 Hi Product Hunt Community! I am Vishnu and I am super excited to launch my first product on Product Hunt. I along with my friends built JarvisCloud to support the Deep learning community, to focus on building solutions, and not worry about setting up or managing the infra. JarvisCloud lets you do exactly these in few clicks at unseen prices. 🤔 Problem Setting GPU instances for deep learning is a super expensive and daunting task. As a deep learning researcher, I used to spend a lot of time setting up the environment, fixing CUDA issues, and downloading data before I start using GPUs for model training. Some of the other issues faced are - 🚀 Availability of modern GPU instances at affordable prices [Reserved Instances]. 🚀 Ability to pause and resume the instance from wherever you left after a few hours or days. 🚀 Flexibility to work on a single GPU for prototyping models and switch to powerful GPUs to train models faster. 🚀 Ability to pause the instance programmatically. 🚀 Sometimes you need approvals to use a particular kind of GPU. I hate it happening on the last day of a Kaggle competition. Most of these features are only available from major cloud providers, but they are very expensive and need special knowledge to implement. 🛠 The Solution - How JarvisCloud accelerates your DL journey ? 🚀 Simple UI 🚀 Launch optimized GPU instance in less than 30 seconds. 🚀 Access instance either using JupyterLab (with HTTPS 😃), SSH into the instance, or connect using VSCode. 🚀 Prototype on a smaller GPU and train your model on a more powerful and multi GPU setup. 🚀 Pause the instance from your code and sleep well. 🚀 Pay for what you use - minute billing. 🚀 Choose from a different range of GPUs, no special approvals required. The Journey Building the product was much tougher than I anticipated, as none of us have prior experience in building products. We had to learn a lot of new things in the last 1 year like building a website, designing, building a data center, optimizing the product for performance, including surviving the pandemic 😃, and much more. It is a roller coaster ride. 🙏 Please check our platform, your feedback goes a long way, so please comment and let us know what you think! Our entire team is waiting to answer your questions🙏. Our early adopters have loved the platform and hope you love it too. To celebrate the PH launch we are offering 20% off on all GPUs till the end of July 2021 with the code “PH2021”. You can apply the coupon in the below link post signing into the platform. https://cloud.jarvislabs.ai/coupon

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5yr ago

clearphrase

Jarvis is making deep learning accessible for everyone. I have tried setting up other platforms, it's either unreliable or hard to set up, and it's costly. Jarvis according to me to is an affordable and easy-to-use platform.

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5yr ago

Maker

@satish_venkatakrishnan Thanks Satish for being an early adopter.

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5yr ago

Fast start times, well priced, simple UI, easy billing. I have always chose between config crap, expensive price, or long launch times. This is the first platform that I've seen that I think gets all of these items right! I highly recommend trying JarvisLabs out.

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5yr ago

Maker

@isaac_flath Thanks Isaac for taking your time to check us out.

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5yr ago

I have been using JarvisCloud since started and follow its continuous improvements along the way (which always impress me ^^). It has a very rich feature set (and a lot of new features on roadmap) so I think every user can find value in it. The developers are very friendly / always super supportive and they know a lot of curious people can't afford expensive setups so they keep the prices low to keep the entry level down. This way any person can contribute to the future and can help to reach breakthroughs faster (and in my opinion this is not only recommended but downright necessary for any future) -> so I have only respect for them. They support us, but they need our support too. Then great things can be born in this symbiosis ;)

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5yr ago

Maker

@imre_hajagos Thansk Imre for the kind words and trust on us.

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5yr ago

I have been using JarvisCloud in the last weeks and am really impressed by it. Compared to other deep learning and machine learning cloud providers (I have tried a few, including some big names) it is easy to setup, the GPUs are really among the most modern ones you can find, it is very affordable and overall the UI feels very un-burocratic. I can only recommend it to Machine and deep learning practicioners.

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5yr ago

Maker

@gil_fernandes Thanks Gil.

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5yr ago

Best solution for deep learning, cheap, fast and easy. Tried aws, google cloud, azure. Jarvis way better in any ways to make things works with much cheaper prices.

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5yr ago

Maker

@some_dick Thanks, for taking your time.

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5yr ago

Great GPU options and reliable service. Most platforms don't offer high memory GPUs and force you into distributing your code on several GPUs. Customer service is also excellent.

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5yr ago

Maker

@erikdali Thanks Erik.

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5yr ago