In a recent press release, PADT Inc. announced the launch of CoresOnDemand.com. CoresOnDemand offers CUBE simulation clusters for customers’ ANSYS numerical simulation needs. The clusters are designed from the ground up for running ANSYS numerical simulation codes and are tested and proven to deliver performance results.
POWERFUL CLUSTER INFRASTRUCTURE
The current clusters available as part of the CoresOnDemand offering are:
1- CoresOnDemand – Paris:
80-Core Intel based cluster. Based on the Intel Xeon E5-2667 v.2 3.30GHz CPU’s, the cluster utilizes a 56Gbps InfiniBand Interconnect and is running a modified version of CentOS 6.6.
2- CoresOnDemand – Athena:
544-Core AMD based cluster. Based on the AMD Opteron 6380 2.50GHz CPU’s the cluster utilizes a 40Gbps InfiniBand Interconnect and is running a modified version of CentOS 6.6.
Five Key Differentiators
The things that make CoresOnDemand different than most other cloud computing providers are:
- CoresOnDemand is a non-traditional cloud. It is not an instance based cluster. There is no hypervisor or any virtualization layer. Users know what resources are assigned exclusively to them every time. No layers, no emulation, no delay and no surprises.
- CoresOnDemand utilizes all of the standard software designed to maximize the full use of hardware features and interconnect. There are no layers between the hardware and operating system.
- CoresOnDemand utilizes hardware that is purpose built and benchmarked to maximize performance of simulation tools instead of a general purpose server on caffeine.
- CoresOnDemand provides the ability to complete high performance runs on the compute specialized nodes and later performing post processing on a post-processing appropriate node.
- CoresOnDemand is a way to lease compute nodes completely and exclusively for the specified duration including software licenses, compute power and hardware interconnect.
CoresOnDemand is backed up by over 20 years of PADT Inc. experience and engineering know-how. Looking at the differentiating features of CoresOnDemand, it becomes apparent that the performance and flexibility of this solution are great advantages for addressing numerical simulation requirements of any type.
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