
NVIDIA 900-21030-2201-000 DESCRIPTION

Note: This board is NOT a video card. It has no display outputs for connecting a monitor. It is a processor that offloads the computation from the computer’s CPU. Also note that for operation under Windows XP, this board requires a NVIDIA graphics display board or motherboard NVIDIA graphics. This is not a requirement for Linux operation
Overview
Tesla C2050 / C2070 GPU Computing Processor
NVIDIA® Tesla™ C2050/2070 Computing Processor delivers supercomputing power at 1/20th the power consumption and 1/10th the cost, bringing the performance of a small cluster to the desktop
The NVIDIA Tesla™ C2050 and C2070 Computing Processors fuel the transition to parallel computing and bring the performance of a small cluster to the desktop. Based on the next-generation CUDA architecture codenamed “Fermi”, the 20-series family of Tesla GPUs support many “must have” features for technical and enterprise computing including C++ support, ECC memory for uncompromised accuracy and scalability, and a 7X increase in double precision performance compared Tesla 10-series GPUs. The Tesla™ C2050 and C2070 GPUs are designed to redefine high performance computing and make supercomputing available to everyone
Compared to the latest quad-core CPUs, Tesla C2050 and C2070 Computing Processors deliver equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption
Features
GPUs powered by the Fermi-generation of the CUDA architecture
Delivers cluster performance at 1/10th the cost and 1/20th the power of CPU-only systems based on the latest quad core CPUs
448 CUDA Cores
Delivers up to 515 Gigaflops of double-precision peak performance in each GPU, enabling a single workstation to deliver a Teraflop or more of performance. Single precision peak performance is over a Teraflop per GPU
ECC Memory
Meets a critical requirement for computing accuracy and reliability for workstations. Offers protection of data in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory, and DRAM all are ECC protected
Desktop Cluster Performance
Solves large-scale problems faster than a small server cluster on a single workstation with multiple GPUs
Up to 6GB of GDDR5 memory per GPU
Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU
NVIDIA Parallel DataCache™
Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand. This includes a configurable L1 cache per Streaming Multiprocessor block and a unified L2 cache for all of the processor cores
NVIDIA GigaThread™ Engine
Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling
Asynchronous Transfer
Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data. Even applications with heavy data-transfer requirements, such as seismic processing, can maximize the computing efficiency by transferring data to local memory before it is needed
CUDA programming environment with broad support of programming languages and APIs
Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and take advantage of the “Fermi” GPU’s innovative architecture. NVIDIA Parallel Nsight™ tool is available for Microsoft Visual Studio developers
High Speed, PCIe Gen 2.0 Data Transfer
Maximizes bandwidth between the host system and the Tesla processors. Enables Tesla systems to work with virtually any PCIe-compliant host system with an open PCIe x16 slot
*Note: With ECC on, a portion of the dedicated memory is used for ECC bits, so the available user memory is reduced by 12.5%. (e.g. 3 GB total memory yields 2.625 GB of user available memory.).
About NVIDIA Corporation
Nvidia is a multinational corporation which specializes in the development of graphics processing units and chipset technologies for workstations, personal computers, and mobile devices. Based in Santa Clara, California, the company has become a major supplier of integrated circuits (ICs), designing graphics processing units (GPUs) and chipsets used in graphics cards, in personal-computer motherboards, and in video game consoles
AVADirect Custom Computers is Authorized NVIDIA Reseller and System Ingerator
Partnership with leading hardware suppliers provides AVADirect great benefits of lower pricing, enhanced technical support and prioritized new product delivery to make sure that our customers always get the latest technology and the best value. Being partnered with many quality hardware suppliers in the industry, we at AVADirect are proud to inform that we were recognized as an authorized NVIDIA reseller and system integrator