I Will Tell You The Truth About AWS Makes Cloud And HPC Budgeting More Predictable For Scientists In The Next 60 Seconds

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Researchers are starting to rely on cloud computing to drive decisive science at difficult speeds, and Amazon Web Services (AWS) wants to fuel the pace of new discoveries by allowing all scientists to have their own supercomputers in the cloud.

Today, AWS is committed to making it easier for scientists to use their storage, cloud computing, and database services, by foregoing the cost of producing data for qualified researchers and academic clients; These are fees associated with the transfer of AWS data to the Internet. The maximum reduction is 15% of total monthly expenses on AWS services, which is several times the usual use of our research clients.

However, there is no cost to download data to AWS, or move data between Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Compute Cloud (Amazon EC2).

The agreement was backed by ongoing discussions with Jisc in the United Kingdom, GÉANT in Europe and DLT in the United States, which provide network infrastructure and cloud support services to educational and research institutions around the world.

Dan Perry, Jisc's product and marketing manager, said:

"Having predictability and cost stability is one of the key challenges for researchers in adopting cloud services, so it's back from the news that AWS is eliminating exit rates for college customers. There's a real opportunity for computing in cloud to become as ubiquitous as commercial market research and with it brings a great blessing to the industry by supporting more collaborative, innovative, and collaborative search results. "

Professor Tony Hey, chief scientist, Council on Scientific and Technological Facilities (STFC) said:

"I am delighted that AWS is taking this step to eliminate the uncertainty over the exit price for using its cloud infrastructure research after extensive discussions with Jisc and GÉANT." Researchers often think that the perception that they will receive large accounts for data downloads discouraged them to consider commercial cloud providers for their computing and data needs.

The cloud has a huge amount to offer in terms of agility and efficiency gains, as well as unique capabilities in areas such as machine learning. This is a very successful development of AWS, and I hope other cloud providers move quickly to do the same.

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By reducing the cost of data output, AWS will help scientists launch their first computer machine in minutes, analyzing data pipelines and storing petabytes of data in the cloud, which will accelerate time to science.

AWS customers are eligible to waive exit fees under this program if:

• Work in academic or research institutions.

• Perform all research workloads or academic workload. However, some applications, such as data service service, are not allowed by this program, such as web hosting, multimedia streaming or mass-in-line software (MOOC)

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Provides at least 80 percent of your AWS cloud data output through a nationally recognized research and education network (NREN) such as Internet2, ESnet, GEANT, Janet, SingAREN, SINET, AARNet, and CANARIE. Most research institutes use these dedicated, government-funded networks to connect to AWS while at the same time achieving higher performance, bandwidth, and network stability

• Use institutional email addresses for AWS accounts

• Work in an approved AWS area.

To obtain AWS data release waiver, contact your AWS account manager or use the "contact us" form on the site and mention the "data release waive request". Scientists can learn more about scientific computing in AWS or start with a Free Tier account.