![]() ![]() v – ML focused small-scale start up with serverless hosting.Servers are hosted both by the community and by the fixed data centers offered by Runpod. Runpod.io – Extremely affordable rates and wide variety offered for cloud GPUs.Vast.ai’s hosting system is innovative as it based on the community hosts rather than fixed data centers. Vast AI – vGPUS offered at an affordable rate.JarvisLabs – Oriented towards beginners and students yet scalable given demand.Vultr – vGPUs offered at an affordable price with global infrastructure.OVH Cloud – IaaS offered by the biggest cloud hosting provider in Europe. ![]() Genesis Cloud – Renewable energy based, relatively cheap yet quite capable platform with servers located mainly in Europe.Lambda Labs – Specifically oriented towards data science and ML, this platform is perfect for those involved in professional data handling.Tencent Cloud – If you need a server located in Asia (or globally) for an affordable price, Tencent is the way to go.Linode – Cloud GPU platform perfect for developers.Coreweave – USA only servers but at the highest level of performance, variety and convenience.Azure (Azure N series) – Top competitor in the industry-level cloud GPU platforms, Azure has a high entry barrier but extremely flexible and capable.AWS EC2 – One of the most popular, top-of-the-line, robust platforms available with high-entry barrier.Google Cloud Platform – Extremely robust platform with high-entry barrier.Paperspace – Free, scalable, and perfect for beginners and teams.Kaggle – Free, community-driven, resource-rich platform for all data scientists offering free GPUs.Google Colab – Platform that is free, popular with a powerful API, perfect for your on-the-go work.What Is the Best Cloud GPU for Deep Learning? Overall Recommendations. In this article, we’ll simplify the process for you by reviewing and summarizing what each cloud GPU service has to offer so that you can make an informed decision. You may have heard about these services, yet you are still unsure of where to begin and which service you should invest your time and money in. Cheap, easy, and incredibly effective platforms for your virtual GPU needs. ![]() However, you are unsure how to proceed because you may currently not require a GPU long-term, or perhaps the budget just isn’t there, or you just can’t be bothered to deal with the hassle of installing new hardware. Whether you are a data scientist or a machine learning enthusiast, the need for capable and fast hardware is real because your task requires your hardware to be able to handle enormous loads of processing at an acceptable speed. In this article, we will review and rank the available services of multiple cloud GPU platforms based on their capability, ease of use, pricing, and other noticeable attributes, creating convenience for you, the reader. ![]()
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