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.
The Top Cloud GPU Rental Provider: Latitude
- Latitude.sh
- OVH Cloud
- Paperspace
- Vultr
- Vast AI
- Gcore
- Lambda Labs
- Genesis Cloud
- Tensor Dock
- Microsoft Azure
- IBM Cloud
- FluidStack
- Leader GPU
- DataCrunch
- RunPod
- Google Cloud GPU
- Amazon AWS
- Jarvis Labs
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.
Have an idea and want to serve to world 🌎 , create a Webapp and deploy it as a flask , Django etc
| Vendor | Website | Pricing | Free Trial / Free Credits |
|---|---|---|---|
| Deta | https://www.deta.sh/ | pricing 🏷️ | Free plan available |
| Digital Ocean | https://www.digitalocean.com | Pay as you go | Free $100 credits with github student pack |
| Glitch | https://glitch.com | - | - |
| Heroku | https://www.heroku.com | pricing 🏷️ | Free plan (model<500MB) |
| PythonAnywhere | https://www.pythonanywhere.com/ | pricing 🏷️ | Free Beginner Account Available |
| Render | https://render.com | pricing 🏷️ | - |
| Streamlit For Teams | https://www.streamlit.io/ | pricing 🏷️ | Currently in Beta ( Streamlit Cloud Tool ) |
| Zeit | https://zeit.co | pricing 🏷️ | Free plan available |
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 🏷️ | - |
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
- 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