Skip to main content

The new information super-highway: Amazon hauls 100 petabytes of data on a truck

Need to move lots and lots of data into the cloud but don’t have the time and money to pump all that information across the internet? Look no further than Amazon’s new Snowmobile for its Amazon Web Services platform. Despite the bitter cold, free-riding name, this data migration solution is a secure data “truck” that can store up to 100 petabytes of data for moving exabytes of data across the nation’s real highways to Amazon’s cloud in a matter of weeks.

Ten-four, good buddy.

Recommended Videos

Amazon describes its new Snowmobile as a “ruggedized, tamper-resistant shipping container” measuring 45-feet long, 9.6-feet high, and 8-feet wide. The container is both climate-controlled and waterproof and consumes around 350KW of power just for the cooling system alone. It can be parked in a covered or uncovered area at the customer’s datacenter, and Amazon will even supply a generator if customers can’t provide enough power to juice the container.

Please enable Javascript to view this content

“Each Snowmobile includes a network cable connected to a high-speed switch capable of supporting one terabit per second of data transfer spread across multiple 40 gigabits per second connections,” Amazon’s Jeff Barr wrote in a blog post on Wednesday. “Assuming that your existing network can transfer data at that rate, you can fill a Snowmobile in about 10 days.”

Barr indicated that the Snowmobile is aimed at customers in the scientific industry, media and entertainment companies, financial services firms, and so on. It attaches directly to the company’s network and appears as a local, network file system (NFS) storage device. Customers can use their own backup/archiving tools to transfer all their data to be stored using Amazon Glacier or Amazon Simple Storage Service (S3).

Using a Lego-inspired example, Barr suggested Snowmobiles are ideal for aging data centers that still rely on racks full of disk and tape drives storing “precious, mission-critical” data. Thus, by moving all that data onto current storage technologies via the cloud, enterprises are spending less time and money trying to squeeze additional performance out of aging hardware.

AWS customers can call to set up a meeting to discuss how the data can be moved to Amazon’s cloud using a Snowmobile. Once the 18-wheeler shows up with the container, AWS Professional Services does all the work in connecting the container to the customer’s network. The customer then initiates the data transfer and when the process is finally complete, the 18-wheeler hauls the container back to Amazon to import the data as specified by the customer.

For now, Snowmobiles will only be used to migrate data into Amazon’s cloud. However, the company is quite aware that many customers may want to export their data from the cloud in disaster recovery cases. Barr didn’t say when the latter service will become available, nor did he have any info to share regarding the overall cost of using one or more Snowmobiles. However, this new truck-based storage transfer service is available in all AWS Regions.

To see Amazon’s new Snowmobile container, head over to Twitter and have a peek at the company’s coverage stemming from its annual Re:Invent conference that is currently under way in Las Vegas.

Kevin Parrish
Former Digital Trends Contributor
Kevin started taking PCs apart in the 90s when Quake was on the way and his PC lacked the required components. Since then…
Man who looked himself up on ChatGPT was told he ‘killed his children’
ChatGPT logo on a phone

Imagine putting your name into ChatGPT to see what it knows about you, only for it to confidently -- yet wrongly -- claim that you had been jailed for 21 years for murdering members of your family.

Well, that’s exactly what happened to Norwegian Arve Hjalmar Holmen last year after he looked himself up on ChatGPT, OpenAI’s widely used AI-powered chatbot.

Read more
The search system in Gmail is about to get a lot less frustrating
Gmail icon on a screen.

Finding relevant information on Gmail can be a daunting task, especially if you have a particularly buzzy inbox. Right now, the email client uses a search operator system that acts somewhat like a shortcut, but not many users know about it.
Today, Google has announced an update to how search on Gmail works, thanks to some help from AI. When you look up a name or keyword in Gmail, the matching results are shown in chronological order.
Moving ahead, search results will be shown based on their relevance. In Google’s words, relevance will take into account three factors viz. frequent contacts, most-clicked emails, and how recently the relevant emails arrived in your inbox.

Old search (left), new search (right) Google
“With this update, the emails you’re looking for are far more likely to be at the top of your search results — saving you valuable time and helping you find important information more easily,” the company says in a blog post.
The updated search system in Gmail is rolling out to users worldwide, and it will be implemented on the desktop version as well as the mobile app. And just in case you are wondering, this is not an irreversible change to the search function in Gmail.
Google says users can switch between “most relevant” and “most recent” search results at their convenience. The overarching idea is to help users find the intended material at a quicker pace.

Read more
Anthropic Claude is evolving into a web search tool
The Anthropic logo on a red background.

Anthropic has thrown its hat in the race to establish an AI-based web search feature, which it announced on Thursday.

The feature is based on Anthropic’s Claude 3.7 Sonnet model and integrates web search into the chatbot tool. You can enable the feature in your profile settings. With an AI prompt, you will receive contextual results with search engine sources included, instead of just the link options you would receive in a standard search result. The web search feature will be available, first to paid U.S. customers and will roll out to additional users at a later time.

Read more