Amazon today announced the availability of Cluster GPU Instances for Amazon EC2. This is a new instance type designed to deliver the power of GPU processing in the cloud.
As per Amazon,GPUs are increasingly being used to accelerate the performance of many general purpose computing problems and says for many organizations, GPU processing has been out of reach due to the unique infrastructural challenges and high cost of the technology. Amazon Cluster GPU Instances remove this barrier by providing developers and businesses immediate access to the highly tuned compute performance of GPUs with no upfront investment or long-term commitment.
Cluster GPU Instances
Instances of this EC2 family provide general-purpose graphics processing units (GPUs) with proportionally high CPUand increased network performance for applications benefitting from highly parallelized processing, including HPC, rendering and media processing applications. While Cluster Compute Instances provide the ability to create clusters of instances connected by a low latency, high throughput network, Cluster GPU Instances provide an additional option for applications that can benefit from the efficiency gains of the parallel computing power of GPUs over what can be achieved with traditional processors. Learn more about use of this instance type for HPCapplications.
- Cluster GPU Quadruple Extra Large 22 GB memory, 33.5 EC2 Compute Units, 2 x NVIDIA Tesla “Fermi”M2050 GPUs, 1690 GB of local instance storage, 64-bit platform, 10 Gigabit Ethernet
EC2 Compute Unit (ECU) – One EC2 Compute Unit (ECU) provides the equivalent CPU capacity of a 1.0-1.2 GHz 2007 Opteron or 2007 Xeon processor.
|Cluster GPU Instances||Linux Windows|
|Quadruple Extra Large||$2.10 per hour||N/A
Refer to Amazon EC2 Pricing for details on costs for each instance type.
The Cluster GPU Instances give customers with HPC workloads an additional option to further customize their high performance clusters in the cloud. For those customers who have applications that can benefit from the parallel computing power of GPUs, Amazon Cluster GPU Instances can often lead to even further efficiency gains over what can be achieved with traditional processors. By leveraging both instance types, HPC customers can tailor their compute cluster to best meet the performance needs of their workloads. For more information on HPC capabilities