Carte graphique PNY TCSC2070-PB Tesla C2070 6 Go GDDR5

<a href="https://www.pny.eu/products.php?section=product&categoryid=15&subcategoryid=107&productid=378" style="display: block;">https://www.pny.eu/products.php?section=product&categoryid=15&subcategoryid=107&productid=378</a><br><br>The NVIDIA TeslaΓäó C2050 and C2070 by PNY fuel the transition to parallel computing and bring the performance of a small cluster to the desktop. Based on the next-generation CUDA architecture, the 20-series family of Tesla GPUs support many ΓÇ£must haveΓÇ¥ 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.<br><br>Compared to the latest quad-core CPUs, Tesla C2050 and C2070 by PNY deliver equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption<br><br><b>EATURES</b><br><br><b>GPUs powered by the Fermi-generation of the CUDA architecture</b><br>Delivers cluster performance at 1/10th the cost and 1/20th the power of CPU-only systems based on the latest quad core CPUs.<br><br><b>448 CUDA Cores</b><br>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.<br><br><b>ECC Memory</b><br>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.<br><br><b>Desktop Cluster Performance</b><br>Solves large-scale problems faster than a small server cluster on a single workstation with multiple GPUs.<br><br><b>6GB of GDDR5 memory per GPU</b><br>Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU.<br><br><b>NVIDIA Parallel DataCacheΓäó</b><br>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.<br><br><b>NVIDIA GigaThreadΓäó Engine</b><br>Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling.<br><br><b>Asynchronous Transfer</b><br>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.<br><br><b>CUDA programming environment with broad support of programming languages and APIs</b><br>Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and take advantage of the ΓÇ£FermiΓÇ¥ GPUΓÇÖs innovative architecture. NVIDIA Parallel NsightΓäó tool is available for Microsoft Visual Studio developers.<br><br><b>High Speed , PCIe Gen 2.0 Data Transfer</b><br>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.<br><br>

PNY TCSC2070-PB. Famille de processeurs graphiques : NVIDIA. Processeur graphique : Tesla C2070. Fréquence du processeur : 1 150 MHz. Mémoire dédiée : 6 Go. Type de mémoire de la carte graphique : GDDR5. Bus mémoire : 384 bits. Fréquence d’horloge : 1 500 MHz. Résolution maximale : 2 560 x 1 600 pixels. Version DirectX : 11, DVI double liaison. Type d’interface : PCI Express x16. Type de refroidissement : Actif