Amazon Elastic MapReduce Announces Support for Cluster Compute and Cluster GPU Instances
We are excited to announce the immediate ability for Amazon Elastic MapReduce customers to take advantage of Cluster Compute (cc1.4xlarge) and Cluster GPU (cg1.4xlarge) instances, allowing you to combine Hadoop’s massively parallelized architecture with high performance computing. You can focus on developing HPC applications and Elastic MapReduce will handle workload parallelization, node configuration and scaling, and cluster management. Further, Elastic MapReduce applications that are I/O intensive have the opportunity to realize performance improvement by leveraging the low latency, full bisection bandwidth 10 Gbps Ethernet network between the instances in these clusters.
Learn more about these instance types and leveraging them with Amazon Elastic MapReduce.
We are excited to announce the immediate ability for Amazon Elastic MapReduce customers to take advantage of Cluster Compute (cc1.4xlarge) and Cluster GPU (cg1.4xlarge) instances, allowing you to combine Hadoop’s massively parallelized architecture with high performance computing. You can focus on developing HPC applications and Elastic MapReduce will handle workload parallelization, node configuration and scaling, and cluster management. Further, Elastic MapReduce applications that are I/O intensive have the opportunity to realize performance improvement by leveraging the low latency, full bisection bandwidth 10 Gbps Ethernet network between the instances in these clusters.
Learn more about these instance types and leveraging them with Amazon Elastic MapReduce.