Teraproc Application Autoscaler

As the Big Data explosion continues, Data Scientists are increasingly needing to run a mix of traditional batch oriented workloads with service oriented workloads on Hadoop clusters in order to process and analyze the massive amounts of data, and turn the data into knowledge. While the Hadoop resource manager supports dynamic allocation of resources for batch workloads, computing resources are statically allocated to workloads requiring long running services (non-batch workloads), resulting in ...
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Teraproc HPC Cluster-as-a-Service with OpenLava now released

Teraproc HPC Cluster-as-a-Service with OpenLava is launched today. User with Amazon Web Services (AWS) account can register, then launch a cluster of computers with OpenLava deployed and configured for running HPC jobs within a few minutes. It also allows users to leverage GPU to accelerate the HPC application performance. Other than the cost of AWS infrastructure, there is no additional cost for this service right now. To get the most out of it, user can also leverage the AWS Spot Instances. Th...
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R Cluster-as-a-Service beta now released

Teraproc R Cluster-as-a-Service beta is ready for test run. Users with Amazon Web Services (AWS) account can register, then launch a cluster of computers for running R batch jobs and R MPI jobs within a few minutes. It also allows users to leverage GPU to accelerate the R program performance. Other than the cost of AWS infrastructure, there is no additional cost for this service right now. To get the most out of it, user can also leverage the AWS Spot Instances. The Teraproc R Cluster-as-a-Servi...
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