Fujitsu Siemens nVidia Tesla C2075 6GB GDDR5 PCIE x16 DVI S26361-D1653-V999 900-21030-1320-100

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Description

Fujitsu Siemens nVidia Tesla C2075 6GB GDDR5 PCIE x16 DVI S26361-D1653-V999 900-21030-1320-100

Condition: New

(New Bulk)

SKU: 274800100102

Specification:

PN - S26361-D1653-V999

PN - 900-21030-1320-100

Form Factor - 9.75” Pcie X16 Form Factor

Number Of Cuda Cores - 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 - 6GB GDDR5

Memory Speed - 1.5 Ghz

Memory Interface - 384-bit

Memory Bandwidth - 144 GB/sec

Power Consumption - 225W TDP

System Interface - PCIe 2.0 x16

Thermal Solution - Active Fansink

Display Support:

Dual-link DVI-I: 1

Maximum Display Resolution - 1600 X 1200

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 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 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. Enables Tesla products to work with virtually any PCIe-compliant host system with an open PCIe x16 slot.

Compeve DTP#: mrk001