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