Applications and bandwidth costs themselves. Any scalability , i.e. computing and storage capacities can be added (scale in) or deleted (scale out) or increased (scale up) or reduced (scale down) at any time. No unused resources because only what was actually needed is requested and paid for. No long-term contracts . Especially in the area of machine learning, it is often difficult to decide on a specific computing capacity from the outset. As the actual requirements and required resources often cannot be estimated. In such situations, public cloud hosting works very well as it does not require long-term commitment or investment.
The cloud providers usually offer
Which make the entire engagement DB to Data extremely simple and straightforward. In addition, all major public cloud providers follow an API-first approach , meaning that all services can be controlled, configured, started, stopped or deleted via an API interface. For example, with just a few lines of code and completely automated.
Created and configured high-performance server landscapes,Hundreds of GB of data were copied into this server landscape. Various training jobs with different parameters initiated.The best model is copied to a separate server instance andthe entire server. Landscape can then be deleted again. And all of this at a price that is affordable even for small businesses, as the entire server landscape often.
Only needs to be used for a few minutes or hours
Comparison of public cloud providers TWD Directory The competition for leadership in public cloud computing is a tough three-way contest. Amazon vs. Microsoft vs. Google . When it comes to Infrastructure as a Service (IaaS) and Platform as a Service (PaaS ), Amazon Web Services (AWS) , Microsoft Azure and. Google Cloud Platform.
(GCP) clearly occupy a leading position among the many cloud companies. This is also shown by the current Gartner’s Magic. Quadrant for Cloud Infrastructure as a Service , which was published in July 2019:Amazon is particularly dominant with its Amazon Web Services (AWS) .