Tired of waiting for complex analyses to run? Frustrated by having to compete for time on a shared supercomputing cluster? You have a new alternative for parallel computing applications with Dell Precision workstation personal supercomputer solutions.
Graphics Processing Units (GPUs) are outstanding at delivering performance where massively parallel floating point calculations are required. With the GPU becoming ever more programmable, workstations, with their robust and high capacity power supplies, are now able to offer a level of personal supercomputing that can make a step change in the time taken to analyze a design, perform a risk analysis of financial portfolios, simulate a bio molecular process, or complete a seismic analysis.
Today Dell Precision workstations, together with NVIDIA® TeslaTM GPUs and the CUDATM architecture, deliver breakthrough performance for parallel computing applications. Having a personal supercomputer frees you from having to run your applications on a shared supercomputing cluster, so you can solve complex computational problems on your own terms.
The NVIDIA® TeslaTM Personal Supercomputer technology is powered by many hundreds of parallel processing cores and 4 GB of dedicated compute memory per GPU to solve large datasets. Based on the revolutionary NVIDIA® CUDATM parallel computing architecture, the Tesla Personal Supercomputer technology puts teraflops of computing muscle at your fingertips
Now Dell offers the combination of an NVIDIA® TeslaTM C1060 GPU and Dell Precision tower systems or, for those looking for even more staggering levels of performance, the ability to link a Dell Precision rack workstation to a dedicated 1U NVIDIA® TeslaTM S1070 GPU solution.
No more waiting for time on shared supercomputing resources. This Personal Supercomputer can sit at your desk and deliver outstanding performance. No need for cooled rooms and raised floors, the C1060 is integrated into a Dell Precision workstation and the workstation is connected to a standard power source.
Your complex and time consuming calculations may just have met their match!
