You must have noticed that for training a very heavy deep learning model, you required a GPU which is mostly available at a very high cost. In simple terms, a GPU is an abbreviation of a Graphical processing unit which means it is a specialized type of processor that is designed to perform complex mathematical calculations quickly and very efficiently. It is mostly used in the gaming industry but nowadays it is commonly used in the field of deep learning, where they have become the most important tool for enhancing the performance of training of a deep neural network. Let’s dive straight into the article where I will be listing down the top 5 platforms that offer cloud-based GPUs free of cost, without even requiring a credit card for sign-up.
Before we get started, here are the parameters on which we are comparing our recommendations:
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If you haven’t used Kaggle so far in your Data Science journey, trust me, you soon will. It is home to over 50,000 public datasets and 400,000 public notebooks and is nothing less than a gold mine for data scientists. Similar to Colab, Kaggle is also owned by Google.
Kaggle offers two GPU options, that you may choose from:
Talking about the Pros
Talking about the Cons
SageMaker Studio Lab is launched recently by Amazon and is positioned as a direct competitor to Google’s Colab. The best part is you do not need to set up an AWS account or use a credit card. To get started, just sign-up for an account using your email. The free GPU Model you get with SageMaker Studio Lab is the Tesla T4, which has 16GBs of GPU Memory.
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The gradient is a product of a company called Paperspace. The free GPU Model you get with Gradient is: Quadro M4000, which has 8GBs of GPU Memory
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As the name suggests, this recommendation is specifically for users who are currently students and pursuing their education with this account: no credit card is required and you get $100 worth of free credit usage, which you may use to purchase Azure GPU resources. For example, you may opt for Tesla T4 (which is the same GPU you get on Amazon Sagemaker Studio Lab). The benefit you have with Azure is that you may decide to choose higher GPU configurations, which by the way might consume your free credits faster.
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To summarize, these are the top 5 places to get a free GPU online for your Deep Learning work. If you have previously used any one of these platforms, do share your experience in the comments section below. If you liked this article, comment below. If you have come across an issue or topic that you think could be worth discussing in this series, do suggest me in the comments section below. And we will try to do a new article on this.
Thank you for reading. Bye!
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None of them are absolute FREE. it has all clause, conditions and limitation in usage. I wish you should be more clear with limitation and help people to find something real time usage.