DALCO nVidia TESLA based Preconfigured Clusters
Supercharge your cluster with Tesla CUDA-based GPUs
Based on an open and flexible GPU cluster computing, DALCO offers the option of creating scalable clusters using NVIDIA Tesla GPU to solve advancing high performance computing with a massively multi-threaded architecture. This solution combines 64x NVIDIA® Tesla™ M2050 GPU cards on board 16x two CPU processor six-core high density servers powered by DALCO including space for 4U switches in a 24U half size rack configuration.
With 448-processor computing cores per GPU, C-language development environment for the GPU, a suite of developer tools as well as the world’s largest GPU computing ISV development community, DALCO Special start up cluster promotion allows scientific and technical professionals the opportunity to test and experiment their ability to develop applications faster and to deploy them across multiple generations of processors. In addition, it gives customers a choice of server, networking, interconnects and software that can easily be configured, tested and pre-integrated as a part of a complete package to include HPC professional services and support.
DALCO offers several configurations of the TeslaTM preconfigured clusters and we can customize them to your needs:
|DALCO GPU Start-Up Cluster|
|Configurations||Up to 16x DALCO r2164ig3r Server
Up to 32 Six Core processors/ 192 cores
Up to 64 GPGPU processors/ 25,672 cores
One DALCO 2U master node
One InfiniBand and one Ethernet switch
|GPUs||32 TeslaTM M2050 GPUs|
|Rack Cabinet||24U - ½ size Rack|
|Performance||Up to 2.3TF peak X86 CPU Performance
Up to 65.9TF peak GPU performance (single precision)
Up to 32.9TF peak GPU performance (double precision)
|Memory||Up to 1.5TB of DDR3 ECC memory for x86 servers
Up to 192GB of GDDR3 memory for GPUs
|Storage||Up to 96x 2.5” SATA HDDs|
|Interconnect||Infiniband DDR or QDR|
|Network||10/100/1000 Gigabit Switch|
|External I/O Interfaces||Gigabit, 10 Gigabit, or QDR Infiniband (options)|
|Power/Cooling||16.0kW to 22.4kW, depending on configurations|
|Options||DALCO Cluster Management and Professional Services|
The DALCO TeslaTM preconfigured cluster comes preinstalled with:
- Redhat Enterprie Linux 6.x, SuSE SLES
- CUDA 4.0 Toolkit and SDK
- DALCO Cluster Management Suite
The CUDA-based TeslaTM GPUs give speedups of up to 250x on applications ranging from MATLAB to computational fluid dynamics, molecular dynamics, quantum chemistry, imaging, signal processing, bio-informatics, and so on. [Click here to learn more] about these speedups with links to application downloads.
GPU Software Development Tools
[Click here to find out more] about the C-based software development tools and various libraries for GPUs.