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Home  >  Corporate Solutions  >  GPU Computing >  GPU Workstations
Tesla GPU SP Floating Point Performance (Peak) DP Floating Point Performance (Peak) CPU System Application Model
1,792
Cores		 4.12 Teraflops 2,060 GFLOPS Dual Intel Xeon 5600 series processors Ultra quiet deskside computing for office or small research group PSC - 2n
1,792
Cores		 4.12 Teraflops 2,060 GFLOPS Dual Intel Xeon 5600 series processors Great expandability for enterprise or data center computing PSC - 6n
1,344
Cores		 3.09 Teraflops 1.545 Teraflops Single Intel Core i7 processor Ultra quiet deskside computing for office or small research group PSC - 1i
896
Cores		 2.06 Teraflops 1,030 GFLOPS Dual Intel Xeon 5600 series processors Ultra quiet deskside computing for office or small research group PSC - 5n
960
Cores		 4 Teraflops 312 GFLOPS Dual Intel Xeon 5600 series processors Ultra quiet deskside computing for office or small research group PSC - 2n
960
Cores		 4 Teraflops 312 GFLOPS Dual Intel Xeon 5600 series processors Great expandability for enterprise or data center computing PSC - 6n
480
Cores		 2 Teraflops 156 GFLOPS Dual Intel Xeon 5600 series processors Ultra quiet deskside computing for office or small research group PSC - 5n

Firestream GPU SP Floating Point Performance (Peak) DP Floating Point Performance (Peak) CPU System Application Model
6,400
Cores		 10.56 Teraflops 2.112 Teraflops Dual Intel Xeon 5600 series processors Ultra quiet deskside computing for office or small research group FSC - 4N1

  Features & Benefits

Your Own Supercomputer
One researcher, one supercomputer. ACMA GPU Personal Supercomputer is a desktop system that operates quietly and plugs into a standard power strip so you can take advantage of cluster level performance anytime you want, right from your desk.

Accessible
Program in C for Windows or Linux. CUDA parallel computing architecture enables developers to utilize C with GPU technology to create computationally-intensive applications. CUDA is easy to learn and has been widely adopted by thousands of application developers worldwide.

Cluster Performance on Your Desktop
The performance of a cluster in a desktop system. Four Tesla GPU computing processors deliver nearly 4 teraflops of performance.

Designed for Office Use
Plugs into a standard office power socket and quiet enough for use at your desk.

Massively Parallel Many Core GPU Architecture
240 parallel processor cores per GPU that can execute thousands of concurrent threads.

Solve Large-Scale Problems Using Multiple GPUs
Scale your application to multiple GPUs and harness the performance of thousands of processor cores to solve large-scale problems.

Widely Accepted, Easy to Learn CUDA C Programming Environment
Easily express application parallelism to take advantge of the GPU's many-core architecture using the CUDA C programming environment.

4GB High-Speed Memory per GPU
Dedicated compute memory enables larger datasets to be stored locally for each processor minimizing data movement around the system.

IEEE 754 Floating Point Precision (Single-Precision and Double-Precision)
Provides results that are consistent across platforms and meet industry standards.

64-bit ALUs for Double -Precision Math
Meets the precision requirements of your most demanding applications with 64-bit ALUs.
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