COVID-19 has impacted almost every industry and cloud is not prone too. The pandemic surged the rate of cloud services’ adoption. To maintain business continuity organizations are struggling to meet the ends and cloud services come at a cost. Many service providers are easing their customer’s life in the pandemic era by providing temporary discounts. Following the same path, Amazon Web Services (AWS) has announced to offer its one of the most popular services, Amazon Sagemaker, at a cheaper rate.
The price reduction strategy will also fuel wider adoption. Well, with a reduction in costs customers can now easily optimize their ML project’s budget. Users can now avail up to an 18% discount on Amazon SageMaker Instances. The new price reductions will be effective from 1st October 2020 and will apply to only certain instances, i.e., ml.p3 and ml.p2 instances for SageMaker Studio Notebooks.
AWS announced Amazon SageMaker in 2017 and since then service has seen global adoption for different use cases which leverages machine learning. As per AWS’s official website, Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high-quality models.
In a recent blog, Julien Simone (AI and ML Evangelist for EMEA) said, “We found out that the total cost of ownership (TCO) of Amazon SageMaker over a 3-year horizon is over 54% lower compared to other options, and developers can be up to 10 times more productive. This comes from the fact that Amazon SageMaker manages all the training and prediction infrastructure that ML typically requires, allowing teams to focus exclusively on studying and solving the ML problem at hand.”
From startups to large enterprises, everyone is experimenting to integrate ML in their business operations. AWS is intelligently helping users in their journey with the right and advanced set of services.
Julian Simone also mentioned in the blog how various global organizations are using Amazon SageMaker. Companies such as Veolia, Nerdwallet, Freshworks, Lyft, Intuit, and Astra Zeneca are managing their AI and ML workloads using Amazon SageMaker. It will also be interesting to see how developers, working from remote areas, will take benefit from this situation.