Tesla Referral Driven Supercomputing Workstation 1000+ GPU Processing Cores!
WHAT IS GPU ACCELERATED COMPUTING?GPU-accelerated computing is the use of a graphics processing unit (GPU) together with a CPU to accelerate scientific, analytics, engineering, consumer, and enterprise applications. Pioneered in 2007 by NVIDIA, GPU accelerators now power energy-efficient datacenters in government labs, universities, enterprises, and small-and-medium businesses around the world. GPUs are accelerating applications in platforms ranging from cars, to mobile phones and tablets, to drones and robots.
HOW GPUS ACCELERATE APPLICATIONSGPU-accelerated computing offers unprecedented application performance by offloading compute-intensive portions of the application to the GPU, while the remainder of the code still runs on the CPU. From a user\'s perspective, applications simply run significantly faster.
- See more at Nvidia\'s Web SiteCan Do:
- Parallel Chemistry
- Computational Fluid Dynamics
- Computational Structural Mechanics
- Data Science
- Defense & Intelligence
- Electronic Design Automation
- Computational Finance
- Imaging and Computer Vision
- Medical Imaging
- Weather And Climate
- Numerical Analytics
- \\Quantum Chemistry
- Media and Entertainment
- Molecular Dynamics
AND MORE!
- See more at Nvidia\'s Web SiteVery CleanSoftware Specs:
- Windows 7 Pro COA Attached
- Windows 7 Pro Installed / Install Disc Included
- Visual Studio 2013 Community Pre-Loaded
- CUDA 6.5 Drivers and Toolkit Software Pre-Loaded
NVIDIA® CUDA® is a parallel computing platform and programming model thatenables dramatic increases in computing performance by harnessing thepower of the graphics processing unit (GPU)
System Specs:
- 2 x Intel Xeon E5620 Quad Cores 2.4GHz 12MB Cache 5.86GT/s
- 12x 2GB DDR3 ECC Memory
- 4x750GB SATA Hard Drives in Raid 0 (That\'s Approx. 2.7TB)
- DVD-RW Drive
- 1GB Nvidia Quadro Card
- Dual Tesla Referral M2090\'s w/ 6GB GDDR5 and 512 Cores Per Card
Single Card Specs:
- Peak double precision floatingpoint performance - 665 Gigaflops
- Peak single precision floating point performance - 1331 Gigaflops
- CUDA cores - 512
- Memory size (GDDR5) - 6 GigaBytes
- Memory bandwidth (ECC off) - 177 GBytes/sec
Not Cord
Warranty