Cloud GPUs: Servers, Providers & Everything You Would Ever Want Ya Dingus!

Your company's GPU computing strategy is essential whether you engage in 3D visualization, machine learning, AI, or any other form of intensive computing.

There was a time when businesses had to wait for long periods of time while deep learning models were being trained and processed. Because it was time-consuming, costly, and created space and organization problems, it reduced their output.

This problem has been resolved in the most recent GPU designs. Because of their high parallel processing efficiency, they are well-suited for handling large calculations and speeding up the training of your AI models.

When it comes to deep learning, GPUs can speed up the training of neural networks by a factor of 250 compared to CPUs, and the latest generation of cloud GPUs is reshaping data science and other emerging technologies by delivering even greater performance at a lower cost and with the added benefits of easy scalability and rapid deployment.

This article will provide an overview of cloud GPUs, their applications in artificial intelligence, machine learning, and deep learning, and the top cloud GPU deployment platforms available today.

Cloud GPU Providers - RANKED!

1. Latitude.sh
2. OVHCloud
3. Paperspace
4. Vultr
5. Vast AI

So, What are Cloud GPUs?

Let's start with GPUs to get a better grasp on cloud GPUs.

Graphics processing units (GPUs) are specialized electronic circuitry that can rapidly alter and manipulate memory to expedite the generation of images and graphics.

Modern graphics processing units are more effective at image and computer graphics manipulation than conventional central processing units (CPUs) due to their parallel structure (CPUs). The central processing unit (CPU) die, the PC's video card, or the motherboard could all house a GPU.

Massive artificial intelligence (AI) and deep learning tasks can be executed in the cloud using cloud graphics processing units (GPUs). In order to use this function, a GPU is not required.

Popular GPU manufacturers include AMD, NVIDIA, Radeon, and GeForce.

Deploy your model as a Web app

Have an idea and want to serve to world 🌎 , create a Webapp and deploy it as a flask , Django etc

MLOps Platforms

A Beautiful marriage 💍 between Machine Learning and DevOps ( A Match Made in Heaven )

Working on Serious Enterprise Level projects that has potential to serve millions of people and make 💰 , leave it to the power ⚡ of DevOps to manage your Machine Learning LifeCycle

Project / Platform	Website	Pricing	Free Trial / Free Credits
Akira.ai	https://www.akira.ai/mlops-platform/	pricing 🏷️	-
Algo	https://www.algomox.com/aiops	-	Free Edition Available
Algorithmia	https://algorithmia.com/	pricing 🏷️	-
Allegro	https://www.allegro.ai/	pricing 🏷️ - for enterprise	Open Source & Enterprise Version
Amazon Sagemaker	https://aws.amazon.com/sagemaker/	pricing 🏷️	Available for free as part of AWS Free Tier
Arrikto	https://arrikto.com/	-	-
ClearML	https://clear.ml	pricing 🏷️	Free plan available
Cnvrg	https://cnvrg.io/platform/mlops/	pricing 🏷️	-
DataRobot	https://www.datarobot.com/platform/mlops/	-	$500 of free usage credits across products
Flyte	https://flyte.org/	-	Open Source Link
Google Cloud AI Platform	https://cloud.google.com/ai-platform/	pricing 🏷️	-
Gradient from Paperspace	https://gradient.paperspace.com/	pricing 🏷️	Free GPUs by Gradient
Grid.ai	https://grid.ai/	pricing 🏷️	$25 free credits + special promo for researchers!
HPE - Ezmeral	Solution from HP	-
HPE - GreenLake	Solution from HP	-
Iguazio	https://iguazio.com/mlops/	-	14 Day Free Trial
KubeFlow ( for k8s )	https://www.kubeflow.org/	-	Open Source Link
MLFlow	https://mlflow.org/	-	Open Source
Neptune.ai	https://neptune.ai/	pricing 🏷️	Freemium
Neu.ro	https://neu.ro/	-	-
Seldon Core	https://seldon.io/tech/products/core/	-	-
Valohai	https://valohai.com	pricing 🏷️	-

Perks and offers

If you are a student or researcher you can get extra credts , contact the provider

• Examesh supports Public Research for free and gives special discount to long-term bookings.

• Paperspace provides $10 of free Gradient° credit fast.ai link

• Do you have a GPU lying around rent your machine to Earn money using Vast.ai*

• Test Drive Nvidia GPU link

• AWS Cloud Credits for Research -link

• Nvidia GPU Grant Program- link

• If you are a Startup then google has you covered wth Startup Program giving you credits from $1000 to $100000 - link

• Google giving cluster of 1000 TPUs to researcher In total, this cluster delivers a total of more than 180 petaflops of raw compute power! techcrunch link - application link

• Google cloud Education Grant - link

• Github Education pack - along with many offers has upto $110 credits for AWS - link

• Watch out on fast.ai Forums to get coupon code for free credits

• Want to use a Super Computer but don't have one, go for Golem - Golem is a decentralized marketplace for computing power. It enables CPUs and GPUs to connect in a peer-to-peer network, enabling both application owners and individual users to rent resources from other users machines, so turbo charge your next model training.

• Hostkey provides grants for research, startups and competition winners link

* Notes

• Google colab and Kaggle kernels have limited session time
• Most of the gpu providers run on top of AWS , GCP etc so may have more or less same pricing as the latter
• Information given above is best to my searching ability , you may recheck with the provider for pricing and other info