When Amazon introduced the Kindle Fire tablet, the cloud accelerated Silk browser was one of the headlining features. While the speed and ease of use supposedly offered by Silk is intriguing, some privacy-minded folks are a little concerned. Since all your traffic is passing though Amazon, your browsing history could be at risk.
Following a nearly week long outage, Amazon said it ironed out most of the technical glitches that brought down its Amazon Web Services (AWS) and Elastic Compute Cloud (EC2) data centers. The data centers took a nosedive last Thursday, wreaking havoc on companies that rent Web services and storage from Amazon, including websites like Reddit, Quoora, and Foursquare, but now everything is back to normal, or as normal as they're going to get.
If you need reliable, enterprise-class hosting, Amazon's EC2 servers can't be beat, right? Yesterday we would have said yes, but today things are looking a little grim. Amazon' EC2 cloud crashed overnight, and it still isn't operational as the time of this posting.
With more than a little help from Nvidia, Amazon hopes to bring supercomputing to the masses through a new Elastic Computer Cloud (EC2) offering called "Cluster GPU Instances."
By "masses," we're referring to enterprises and start-ups, not everyday Joes looking to run Crysis or improve their Folding@Home score (go Team 11108). Amazon's new Cluster GPU Instance is a server with two quad-core Intel Xeon X5570 processors, two Nvidia Tesla M2050 GPUs (Fermi), 22GB of memory, 1.7TB of storage, and a 10Gb/s Ethernet connection, Amazon's Jeff Barr said.
"With Amazon Cluster GPU Instances, our customers now have the power of high performance computing, the efficiency and speed of GPUs, and the highly scalable and affordable cloud environment our customers have come to expect fro Amazon Web Services (AWS)," said Peter De Santis, GM of Amazon EC2. "We're excited to help our customers access the raw power of GPU technology and look forward to the innovation this will enable."
Using all that GPU power can be tricky, but Nvidia says hundreds of applications have already been ported to the Nvidia CUDA architecture, making it easy for programmers to dive right in.