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NVIDIA Tesla C2075 6GB 384-bit GDDR5 PCIe 2.0 x16 1.03 Tflops Workstation Video Card
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Model Brand NVIDIA Model 900-21030-2221-100 Interface PCI Express 2.0 x16 Chipset Chipset Manufacturer NVIDIA Tesla C2075 448 Memory Memory Clock 1.5GHz Memory Size 6GB 384-bit GDDR5 3D API DirectX 11 Ports 1 Details Digital Resolution Maximum Display Resolution 1600x1200 Cooler With Fan Dual-Link DVI Supported Yes Operating Systems Supported Linux 32-bit, 64-bit Windows XP, Windows Vista, Windows 7 (32-bit and 64-bit)
Features Features 448 CUDA CORES Tesla C2075 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. 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. 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 GIGA THREAD ENGINE Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling. DUAL COPY ENGINE ENABLES TRUE ASYNCHRONOUS DATA 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 PROG RAMMING 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 GPU debugging 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.
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