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Amazon Web Services has announced Amazon Cluster GPU Instances, a new instance type designed to deliver the power of GPU processing in the cloud. GPUs are increasingly being used to accelerate the performance of many general purpose computing problems but its benefits have been out of reach for many organizations due to their infrastructural challenges and high cost.
Amazon Cluster GPU Instances remove this barrier by providing developers and businesses immediate access to GPU technology with no upfront investment or long-term commitment. It's super computing on a budget.
An Amazon Cluster GPU Instance provides 22 GB of memory, 33.5 EC2 Compute Units, and utilizes the Amazon EC2 Cluster network, which provides high throughput and low latency for HPC and data intensive applications.
Each GPU instance features two NVIDIA Tesla M2050 GPUs, delivering peak performance of more than one trillion double-precision FLOPS. Many workloads can be greatly accelerated by taking advantage of the parallel processing power of hundreds of cores in the new GPU instances.
Numerous industries - including oil and gas exploration, graphics rendering and engineering design - are using GPU processors to improve the performance of their critical applications.
Amazon Cluster GPU Instances extend the options for running HPC workloads in the AWS cloud. Cluster Compute Instances, launched earlier this year, provide the ability to create clusters of instances connected by a low latency, high throughput network. Cluster GPU Instances give customers with HPC workloads an additional option - customers who have applications that can benefit from the parallel computing power of GPUs can use them to achieve efficiency gains over what can be achieved with traditional processors. By selecting instance types, HPC customers can tailor their cluster to best meet the performance needs of their workloads.
For more information and to get started using Amazon EC2 GPU Instances, visit http://aws.amazon.com/ec2/hpc-applications.
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