GPU (Graphics Processing Unit) : A programmable logic chip (processor) specialized for display functions. The GPU renders images, animations and video for the computer’s screen. GPUs are located on plug-in cards, in a chipset on the motherboard or in the same chip as the CPU. To catch the nature of the data from scratch the neural net needs to process a great deal of information. There are two different ways to do so — with a CPU or a GPU. Deep Learning is for the most part involved in operations like matrix multiplication.
Deep learning is a field with exceptional computational prerequisites and the choice of your GPU will in a general sense decide your Deep learning knowledge. Having a fast GPU is an essential perspective when one starts to learn Deep learning as this considers fast gain in practical experience which is critical to building the skill with which you will have the capacity to apply deep learning to new issues. Without this fast feedback, it just sets aside an excessive amount of opportunity to gain from one’s missteps and it very well may demoralize and disappointing to go ahead with Deep learning.
GPUs were created to deal with heaps of parallel computations utilizing a large number of cores. Additionally, they have an extensive memory bandwidth capacity to manage the information for these computations. This makes them the perfect product equipment to do DL on. Ever had a laptop that is not powerful enough to run your models, forget about it and use Cloud GPUs to train your model faster and cheaper.
| # | Cloud vendor | Website | Pricing | Free Trial / Free Credits |
|---|---|---|---|---|
| 1 | Google Colaboratory | https://colab.research.google.com | FREE | FREE FOREVER* |
| 2 | Kaggle Kernels | https://www.kaggle.com | FREE | FREE FOREVER* |
| 3 | Alibaba cloud | https://alibabacloud.com | Pay as you go | $300 credits |
| 4 | AWS Sagemaker | https://aws.amazon.com/sagemaker/ | pricing | Free plans |
| 5 | Azure | https://azure.microsoft.com/en-in/services/machine-learning-studio/ | pricing | $200 credits |
| 6 | Cirrascale | http://www.cirrascale.com | pricing | – |
| 7 | Cloudalize | https://www.cloudalize.com | pricing | – |
| 8 | Clusterone | https://clusterone.com | pricing | $25 Sign up credit |
| 9 | Crestle | https://crestle.ai | pricing | – |
| 10 | DataCrunch | https://datacrunch.io | V100 at $0.69/h | Fast.ai Special Discount |
| 11 | Dataiku | https://www.dataiku.com | – | Free Plans |
| 12 | Deep Cognition | https://deepcognition.ai | pricing | Desktop version free to use |
| 13 | Deepnote | https://www.deepnote.com/ | Currently in Beta | – |
| 14 | Exoscale | https://www.exoscale.com/gpu/ | pricing | – |
| 15 | FloydHub | https://www.floydhub.com | pricing | Free 2 GPU powerups in 14 days trial plan |
| 16 | Genesis Cloud | https://www.genesiscloud.com/ | 1080Ti at $0.30/hour | 166 free GPU hours |
| 17 | Golem | https://golem.network | – | – |
| 18 | Google Cloud Platform | https://cloud.google.com/gpu/ | pricing | $300 credits |
| 19 | GPUeater | https://gpueater.com | pricing | – |
| 20 | Hostkey | https://hostkey.com/dedicated-servers/gpu/ | GPU from 90 euros/month | Free trials available |
| 21 | IBM Cloud | https://www.ibm.com/cloud/gpu | Pay as you go | $200 credits |
| 22 | Jarvis Labs | https://jarvislabs.ai/ | RTX 5000 at $0.49/hr | Fast.ai Special Discount |
| 23 | Lambda Labs | https://lambdalabs.com/service/gpu-cloud | 4x Pascals start at $1.50/hr | – |
| 24 | Leadergpu | https://www.leadergpu.com | pricing | – |
| 25 | Neuro Ai | https://www.neuro-ai.co.uk/ | £2.50/h (only pay for training/inference time) | £100 credits |
| 26 | Nimblebox | https://nimblebox.ai | pricing | Free $10 worth of cloud credits |
| 27 | Nvidia cloud | Nvidia Cloud GPU | – | – |
| 28 | Omnisci | https://www.omnisci.com | pricing | 14-day free trial |
| 29 | Onepanel | https://www.onepanel.io | pricing | – |
| 30 | One Stop System | https://www.onestopsystems.com | – | – |
| 31 | Overture | https://www.overture.ai | – | Free credits on signup |
| 32 | Paperspace | https://www.paperspace.com | pricing | Referral Program Available |
| 33 | puzl.ee | https://puzl.ee/gpu-cloud | 2080Ti at 0.29EUR/h | Free cloud Kubernetes API, up to 10 GPUs per pod |
| 34 | Q Blocks | https://www.qblocks.cloud/ | $20 package ~ 100 GPU hours | Free 20 Compute Hours for Early access |
| 35 | Rapid Switch | https://www.rapidswitch.com | pricing | – |
| 36 | Rendsolve | https://rendsolve.com | pricing | – |
| 37 | Salamander | https://salamander.ai | pricing | – |
| 38 | Snark | https://snark.ai | pricing | – |
| 39 | Spell | https://spell.run/developers | pricing | $10 GPU credit on signup |
| 40 | Valohai | https://valohai.com | pricing | Free trial available |
| 41 | Vast.ai | https://vast.ai | pricing | – |
| 42 | Vector Dash (gaming) | https://vectordash.com | – | Free 7 day plan |
| 43 | vscaler | https://www.vscaler.com | On Request | – |
| 44 | GPU.LAND | https://gpu.land/ | $0.99/hr for Tesla V100 | – |
Perks and offers
If you are a student or researcher you can get extra credits, contact the provider
- 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
- Google Cloud Research program – gives $5000+ credits link
- AWS Cloud Credits for Research –link
- Nvidia GPU Grant Program- link
- If you are a Startup then Google has you covered with 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 up to $110 credits for AWS – link
- Watch out on fast.ai Forums to get coupon code for free credits
- Valohai gives you a researcher license for students and researchers
- 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 turbocharge 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 the same pricing as the latter.
- The information given above is best to my searching ability, you may recheck with the provider for pricing and other info.