Do sprzedania karty
NVIDIA TESLA C2050 3GB
pochodzą od autoryzowanego dystrybutora części DELL
do kart dołączony dowód zakupu wraz z gwarancją na 6 miesięcy
Tesla™ C2050 / C2070
Nowa generacja architektury CUDA, karty NVIDIA Tesla™ C2050 i C2070, oznaczone nazwą kodową „Fermi”,
to najbardziej zaawansowana architektura dedykowana obliczeniom na GPU,
jaka kiedykolwiek powstała. Dzięki ponad trzem miliardom tranzystorów oraz aż do 448 rdzeniom przetwarzania CUDA,
zapewnia ona możliwości i wydajność superkomputerów opartych o 4 rdzeniowe układy CPU,
przy 1/10 ceny oraz 1/20 zapotrzebowania na energię tradycyjnych serwerów korzystających wyłącznie z układów CPU.
Architektura FERMI dostarcza wiele od dawna oczekiwanych cech technicznych:
- wsparcie dla C + +
- obsługę pamięci ECC dla bezkompromisowej dokładności i skalowalności
- 7 krotny wzrost wydajności dla obliczeń podwójnej precyzji w porównaniu z kartami TESLA serii 10xx
Cechy produktu:
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| 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. |
Specyfikacja techniczna:
| Form Factor |
9.75″ PCIe x16 form factor |
| # of Tesla GPUs |
1 |
| # of CUDA Core |
448 |
| Frequency of CUDA Cores |
1.15 GHz |
| Double Precision floating point performance (peak) |
515 Gflops |
| Single Precision floating point performance (peak) |
1.03 Tflops |
| Total Dedicated Memory* |
Tesla C2050
3GB GDDR5
Memory Speed 1.55 GHz
Memory Interface 384-bit
Memory Bandwidth 148 GB/sec
Power Consumption MAX 225W
TDP System InterfacePCIe x16 Gen2
Thermal SolutionActive Fansink
Software Development Tools
CUDA C/C++/Fortran,
OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio
Tesla C2050 Board 3GB ECC GDDR5, do 0.52 TFlops (Double Precision)
itterations to get a better feal for the lighting and composition.
Average render time was 2-5 minutes using a single machine configured with a with a Quadro 5000 and a Tesla C2050.
Więcej informacji :
za dopłatą 1000zł
Do jednej sztuki mogę dodać kartę nvidia quadro 4000
więcej info na maila
POZDRAWIAM !!!
