Siêu Thị Máy Chủ » Card đồ họa-Video » NVIDIA TESLA GPU NVIDIA Tesla C2070 6GB 384-bit GDDR5 448 Processing Cores Fermi GPU Computing Card (Code Name: TCSC2070-PB ; 900-21030-2220-000 ; AOC-GPU-NVC2070)

Number of Processor Cores: 448 Frequency of Processor Cores: 1.15 GHz Double Precision floating point performance (peak): 515 Gflops Single Precision floating point performance (peak): 1.03 Tflops Total Dedicated Memory: 6GB GDDR5 Memory Speed: 1.5 GHz Memory Interface: 384-bit Memory Bandwidth: 144 GB/sec Power Consumption: 255W Form Factor: 9.75" - Dual Slot System Interface: PCIe x16 Gen2 Thermal Solution : Active Fansink Software Development Tools: CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio

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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. - 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. STT Nhà cung cấp Liên hệ Tiền/Mua 1 Công Ty TNHH Siêu Siêu Nhỏ Địa chỉ chính: 254A Nguyễn Đình Chiểu - phường 6 - Quận 3 - Tp.Hồ Chí Minh Địa chỉ 1: 57 Láng Hạ - Thành Công Tower P. 1002, Ba Đình, HN   0 VNĐ 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. - 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.