Amazon Web Services (AWS) customers will soon be able to book time slots at physical locations to connect their storage devices and upload data to the cloud.
Data can be uploaded to any AWS endpoint, including Amazon S3, Amazon Elastic File System (Amazon EFS), or others, using a high throughput connection of up to up to 400Gbps.
Each AWS Data Transfer Terminal will house a patch panel, fiber optic cable and a PC for monitoring data transfer jobs, the hyperscaler revealed. Terminals will be charged by the hour, with no per GB charge for the data transfer if the data remains in the same continent.
The first two Data Transfer Terminals are already up and running in Los Angeles and New York, with plans to launch more globally.
So far, the company is only listing charges for US-to-US transfers - $300 per hour - and US-to-EU at $500.
"On your reserved date and time, visit the location and confirm access with the building reception. You’re escorted by building staff to the floor and your reserved room of the Data Transfer Terminal location," said Channy Yun, principal developer advocate for AWS Cloud.
"Don’t be surprised if there are no AWS signs in the building or room. This is for security reasons to keep your work location as secret as possible."
The company said the terminals will significantly cut the time it takes to upload large amounts of data, meaning ingested data can be processed within minutes.
Customers can then analyze large datasets using Amazon Athena, train and run machine learning models with ingested data using SageMaker, or build scalable applications using Amazon EC2.
"After the data is uploaded to AWS, you can use the extensive suite of AWS services to generate value from your data and accelerate innovation," Yun commented.
"You can also bring your AWS Snowball devices to the location for upload and retain the device for continued use and not rely on traditional shipping methods."
Suggested use cases include video production data for processing in the media and entertainment industry, training data for Advanced Driver Assistance Systems (ADAS) in the automotive industry, or migrating legacy data in the financial services industry.
The hyperscaler also noted the service could help support uploads of equipment sensor data in the industrial and agricultural sectors.
"You can upload large datasets from fleets of vehicles operating and collecting data in metro areas for training machine learning models, digital audio and video files from content creators for media processing workloads, and mapping or imagery data from local government organizations for geographic analysis," said Yun.
