PNY TCSC2050-PB Scheda Tecnica

DRIVERS AND DowNLoADS

Tesla C2050/C2070 is supported under

- Linux 32-bit and 64-bit
- windows XP, windows Vista, windows 7
(32-bit and 64-bit)
Vertical Solutions and Software page:

www.nvidia.com/object/vertical_solutions.html

Software for Tesla C2050 / C2070

- Download latest driver at

www.nvidia.com/Download/index.aspx?lang=en-us

- Software development tools is available at

www.nvidia.com/object/ tesla_software.html

FEATURES AND BENEFITS

GPUs PowERED By THE FERMI-
GENERATIoN oF THE CUDA ARCHITECTURE

Delivers cluster performance at 1/10

the cost and 1/20

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.

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.

To learn more about NVIDIA Tesla, go to www.nvidia.com/tesla

and/or registered trademarks of NVIDIA Corporation. All company and product names are trademarks or registered trademarks of the respective owners with which

they are associated. Features, pricing, availability, and specifications are all subject to change without notice.

SUPPoRT

HARDwARE SUPPoRT

For RMA requests, replacements and warranty issues regarding your NVIDIA based product,
please contact the reseller that you purchased it from.
kNowLEDGEBASE

our knowledgebase is available online 24x7x365 and contains answers to the most common
questions and issues:

www.nvidia.custhelp.com/cgi-bin/nvidia.cfg/php/enduser/std_alp.php

USER FoRUMS

Discuss Tesla products, talk about CUDA development, and share interesting issues, tips
and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums:

www.forums.nvidia.com

PRE-PURCHASING SUPPoRT

Pre-purchasing support is available to assist you in deciding which Tesla unit to purchase for
your application: