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Scale your science with NVIDIA Tesla GPU SimCluster, an off-the-shelf and ready-to-deploy cluster solution with both hardware and software.
Available in configurations that deliver 10 to 42 teraflops of HPC performance (2.5+ TFlops / 1U), it delivers the easiest way to buy, use and manage a GPU-based research
cluster. With the Tesla GPU SimCluster, academic research departments can take GPU-accelerated apps from workstation to multi-node cluster, speeding
research and discovery.
Scale Your Science on a GPU Cluster
- Makes more complex and realistic simulation possible with massively parallel processing power of GPUs
- Reduce simulation time from days to hours
- Computing cluster with GPUs as parallel co-processors designed to out-perform those built with CPUs alone
- Takes your GPU-accelerated research apps from workstation to multi-node HPC cluster
Off the Shelf, Ready-to-Deploy, and Designed for Academic Research Departments
- Product configuration from 10 to 42 Teraflops to meet range research computation demands
- Turnkey, preconfigured development environment and cluster management tools
- Available from Ace Computers, a participating Tesla preferred partner
The Easiest Way to Buy, Use, and Manage a GPU-based Research Cluster
- Allows you to focus on science and discovery, while minimizing time spent on cluster set up and management
Software Configuration Options
Operating System:
- Red Hat Enterprise Linux
- Mvapich2 1.6
- Openmpi 1.4.3
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The NVIDIA Tesla 20-series is designed from the ground up for high performance computing. Based on the next generation CUDA GPU architecture codenamed "Fermi", it supports
many "must have" features for technical and enterprise computing. These include ECC memory for uncompromised accuracy and scalability, support for C++ and 8x the double precision performance compared to the Tesla 10-series GPU
computing products. When compared to the latest quad-core CPU, Tesla 20-series GPU computing processors deliver equivalent performance at 1/20th the power consumption and 1/10th the cost.
The Tesla M2050 and M2070, along with the new M2090 (6GB, 665/1331 Gigaflops, and 177 GBytes/s) Computing Modules enable seamless integration of GPU computing with host systems for high-performance computing and large data center, scale-out deployments.
The 20-series Tesla GPUs are the first to deliver greater than 10X the double-precision horsepower of a quad-core x86 CPU and the first to deliver ECC memory. The Tesla M2050 and M2070 modules deliver all of the standard benefits of GPU computing
while enabling maximum reliability and tight integration with system monitoring and management tools. This gives data center IT staff much greater choice in how they deploy GPUs, with a wide variety of Ace rack-mount and blade systems and with the
remote monitoring and remote management capabilities they need. With over three billion transistors and featuring up to 512 CUDA cores, Fermi delivers superior supercomputing features and makes GPU and CPU co-processing pervasive by addressing
the full-spectrum of computing applications. Designed for C++ and available with a Visual Studio development environment, it makes parallel programming easier and accelerates performance on a wider array of applications than ever before – including
dramatic performance acceleration in ray tracing, physics, finite element analysis, high-precision scientific computing, sparse linear algebra, sorting, and search algorithms.
- Up to 512 CUDA cores
- NVIDIA Parallel DataCache technology
- NVIDIA GigaThread engine
- ECC memory support
NVIDIA Tesla Video Success Stories
NVIDIA Tesla Datasheets
Download the NVIDIA Tesla M2050 / M2070 / M2090 Datasheet (297K) |
QUADRO Technology
Ace also features NVIDIA Quadro technology in many of our LogiCAD and LogiCAD G Series Workstations. The newest NVIDIA Quadro professional solutions are true technological breakthroughs,
delivering up to 5x faster 3D performance and 8x faster computational simulation across a broad range of design, animation and video applications. Built on the innovative NVIDIA Fermi architecture, the latest Quadro offerings are the first
professional-class GPUs to integrate high performance computing capabilities with advanced visualization techniques, transforming modern workflows. Featuring new Scalable Geometry Engine technology, Quadro can deliver an unheard of 1.3 billion
triangles per second, shattering previous 3D graphics limitations. With Quadro solutions, your work flows -- you can design, iterate and deliver higher quality projects in less time. Quadro is not only a graphics processor; it drives an entire
visual supercomputing platform, incorporating hardware and software that enables advanced capabilities such as stereoscopic 3D, scalable visualization and 3D high-definition broadcasting. NVIDIA professional software technologies, from CUDA software
to application acceleration engines, combined with Quadro, accelerate applications from companies such as Adobe, Autodesk, RTT, Dassault Systemes, Bunkspeed and many more.