Skip to main content

Rent GPU

Train and deploy AI, ML and DL models in few clicks.

Sign UpSign In
Jarvislabs.ai product snapshot

Trusted by 10,000+ AI practitioners

Kaggle logo
CMU logo
Weights and Biases logo
Neptune.ai logo
Okkular logo
Analytics Vidhya logo
upgrad logo
Kaggle logo
CMU logo
Weights and Biases logo
Neptune.ai logo
Okkular logo
Analytics Vidhya logo
upgrad logo

See how it works?

Why choose Us ?

img/pages/landing/chat.svg

24X7 Customer support

Deep Learning is hard, need help or stuck somewhere? just say Hi!👋

img/pages/landing/money.svg

More cash in your pockets

Pay per minute and start for as low as $0.19

img/pages/landing/interface.svg

Powerful API

Use API to automate training, deployment of your AI pipelines.

img/pages/landing/deploy.svg

Deploy

Deploy apps like Gradio, Streamlit, fastapi and more on GPU powered instances.

img/pages/landing/start_building.svg

Get started

A simple UI to set up a GPU powered instance in few clicks.

img/pages/landing/speed.svg

Performance

Choose from world's fastest Nvidia GPU A100, A6000 and A5000.

img/pages/landing/flexible.svg

Flexible

Choose a predefined instance / public container. Access instance through Jupyter Lab, VScode or SSH

img/pages/landing/upgrade.svg

Scalable

Increase/Decrease GPU, switch to a different GPU type for faster training.

Powerful API

Quickly automate your instance lifecycle for training and deploying your AI model using our python API.


//Instantiate blazing fast GPU with your favourite ML library/framework.
instance = Instance.create(gpu_type='A100',
num_gpus=1,
hdd=20,
framework_id=0,
script_id=1)


//Running Instances
instance.url //Get JupyterLab URL
instance.ssh_str // Get SSH string to connect to VS code


//Free up GPU/memory resources while persisting all data and models to disk
instance.pause()

//Scale up number of GPU or switch to faster one while resuming your GPU instance
instance.resume(num_gpus=4,
gpu_type='A100',
hdd=200)


// Free up the resources and stop billing.
instance.destroy()

Create Instance

Instantiate blazing fast GPU with your favourite ML library/framework.

Connect to Instance

Connect to JupyterLab or VScode through SSH.

Pause Instance

Free up resources GPU and memory while persisting all data and models to disk.

Resume Instance

Increase number of GPU or switch to faster one to train your workload efficiently while resuming GPU instance.

Delete Instance

Free up the resources and stop billing. Deletes the data and models

Loved by AI community

Jeremy Howard
Jeremy Howard

@jeremyphoward

The cheapest would probably be Jarvis Labs. They're very popular in our community.
https://cloud.jarvislabs.ai
Oct 09, 2021
Laurent Thevenet
Addict to@jarvislabsai. Less branded than others on the surface but super simple. Great GPUs (training on 8 x A100s is amazing). This beats Paperspace premium accounts, Colab with custom VMs... I loved RunwayML as well but needed more control and this is my new AI art canvas.
Dec 29, 2021
Sanyam Bhutani
Sanyam Bhutani

@bhutanisanyam1

The incredible https://cloud.jarvislabs.ai by @vishnuvig IMO offers one of the best pricing for renting compute 💰 TIL that they are completely bootstrapped & operate out of India! 🙏 It's really fulfilling to hear one of the best startups from @fastdotai classroom is from country!
Oct 15, 2021
Isaac Flath
Isaac Flath

@isaac_flath

If you haven't tried http://cloud.jarvislabs.ai you should. 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!
Feb 10, 2021
makeitrad
makeitrad

@makeitrad1

STYLEGAN3-R Crystal training done on 4-A100s for approximately 8 hours. Got 512kimgs complete in this time period. Thx for helping me get started@jarvislabsai
!!! Cost approx $80usd for the GPU rental.
Nov 23, 2021
Hadi Curtay
Hadi Curtay

@hadicurtay

After waiting for 3 days on AWS to provide capacity so I can continue on@fastdotaicourse, I switched to@jarvislabsaiand it literally took me less than 5 min. Good stuff @vishnuvig
Dec 23, 2021
Dien Hoa Truong
Have tried several gpu cloud services and lately switched to https://jarvislabs.ai. They have interesting features that I can’t resist
Prepaid system no surprise billing anymore
Resume instance with the env and data where you left
Scale : up with new GPU + multiple GPU
Nov 19, 2021
Sadiva
Sadiva

@sadiva_madaan

I use @jarvislabsai. It is very cheap compared to other cloud providers and their support team is really good.
Feb 3, 2022
Vinayak Nayak
Vinayak Nayak

@ElisonSherton

@jarvislabsai is one of the most affordable, user-friendly & efficient cloud platform solutions available out there
I've used it for #imageclassification, #imagesegmentation and #ner applications & have found it to be very fast and reliable. Ty @vishnuvig for making it possible
Jan 12, 2022

Want to train or deploy your AI model?

Start now