Amazon SageMaker vs Paperspace: What are the differences?
What is Amazon SageMaker? Accelerated Machine Learning. A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
What is Paperspace? The way to access and manage limitless computing power in the cloud. It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.
Amazon SageMaker and Paperspace can be categorized as "Machine Learning as a Service" tools.
Some of the features offered by Amazon SageMaker are:
- Build: managed notebooks for authoring models, built-in high-performance algorithms, broad framework support
- Train: one-click training, authentic model tuning
- Deploy: one-click deployment, automatic A/B testing, fully-managed hosting with auto-scaling
On the other hand, Paperspace provides the following key features:
- Intelligent alert
- Two-factor authentication
- Share drives
What is Amazon SageMaker?
What is Paperspace?
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Why do developers choose Amazon SageMaker?
Why do developers choose Paperspace?
What are the cons of using Amazon SageMaker?
What are the cons of using Paperspace?
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Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.
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