Видеокарта PNY Tesla K80M GPU computing card 24GB PCIE (TCSK80M-PB). Инструкция на английском языке

NVIDIA  TESLA K80 by PNY
®
PART NUMBER:
TCSK80M-PB
NVIDIA TESLA K80 by PNY
THE WORLD’S FASTEST ACCELERATOR
FOR DATA ANALYTICS AND SCIENTIFIC
Accelerate your most demanding single and double precision
workloads in scientific computing, seismic processing, and
data analytics applications by upgrading to the NVIDIA Tesla
K80 dual-GPU accelerator. It delivers up to 2.2x faster perfor-
mance than the Tesla K20X, up to 2.5x faster performance
than the Tesla K10, and up to 10x faster performance than
CPUs on real-world applications.
The Tesla K80 accelerator delivers more than 2x application speed-up compared to the previous generation of accelerators, and up to 10x
faster performance compared to CPUs. With exclusive features like 24 GB of GDDR5 memory, 480 GB/s memory bandwidth, and improved
GPU Boost technology, the Tesla K80 delivers the computational horsepower that allows you to crunch through petabytes of data and run
simulations faster than ever before.
Tesla GPU Accelerators are built on the NVIDIA Kepler™ compute architecture and powered by CUDA,® the world’s most pervasive paral-
lel-computing model. This makes them ideal for delivering record acceleration and compute performance efficiency for applications in fields
including: Machine Learning and Data Analytics, Seismic Processing, Computational Biology and Chemistry, Weather and Climate Modeling,
Image, Video, and Signal Processing, Computational Finance/Physics, CAE and CFD.
The Kepler-based Tesla family of GPUs is part of the innovative Tesla Accelerated Computing Platform. As the leading platform for accele-
rating data analytics and scientific computing, it combines the world’s fastest GPU accelerators, the widely used CUDA parallel computing
model, and a comprehensive ecosystem of software developers and software vendors.
The innovative design of the TESLA K80 compute architecture includes:
Zero-power Idle
Increases data center energy efficiency by powering down idle GPUs when running legacy nonaccelerated workloads.
2x Shared Memory and 2x Register File
Increases effective throughput and bandwidth with 2x shared memory and 2x register file compared to the K40.
GPU Boost
Enables the end-user to convert power headroom to higher clocks and achieve even greater acceleration for various HPC workloads.
Dynamically scales GPU clocks for maximum application performance and improved energy efficiency
TESLA K80  - PRODUCT SPECIFICATIONS
1
MEMORY SIZE PER BOARD                                    24 GB GDDR5 (12 GB per GPU)
MEMORY INTERFACE                                         384-bit
MEMORY BANDWIDTH                                         480 Gb/s
CUDA CORES                                               4992
PEAK DOUBLE PRECISION FLOATING POINT PERFORMANCE         2.91 Tflops (GPU Boost Clocks)
1.87 Tflops (Base Clocks)
PEAK SINGLE PRECISION FLOATING POINT PERFORMANCE         8.74 Tflops (GPU Boost Clocks)
5.6 Tflops (Base Clocks)
SYSTEM INTERFACE                                         PCI Express 3.0 x16
MAX POWER CONSUMPTION                                    300 W
THERMAL SOLUTION                                         passive heat sink
FORM FACTOR                                              111.15 mm (H) x 267 mm (L)
Dual Slot, Full Height
DISPLAY CONNECTORS                                       None
POWER CONNECTORS                                         8-pin CPU power connector
PACKAGE CONTENT                                          1x Power Adapter (2 x PCIe 8-pit to single CPU 8-pin)
PART NUMBER                                              TCSK80M-PB
More information: www.pny.eu/tesla  © 2014 NVIDIA Corporation  and PNY. All rights reserved.  NVIDIA, the NVIDIA logo,  Quadro, CUDA, and Kepler are trade-  PNY Technologies Europe
Follow us: @PNYproDE  - @PNYproFR  - @PNYproUK  marks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. The PNY logotype is a regis-  sales@pny.eu | T: +33 (0)5 56 13 75 75
tered trademark of PNY Technologies. All other trademarks and copyrights are the property of their respective owners. Dez14

NVIDIA   TESLA K80 by PNY
®
TELSA K80 - Features
Meets a critical requirement for computing accuracy and reliability in
ECC MEMORY ERROR PROTECTION                           datacenters and supercomputing centers. Both external and internal
memories are ECC protected in Tesla K80.
Integrates the GPU subsystem with the host system’s monitoring and
SYSTEM MONITORING FEATURES                            management capabilities such as IPMI or OEM-proprietary tools. IT
staff can thus manage the GPU processors in the computing system
using widely used cluster/grid management solutions.
Accelerates algorithms such as physics solvers, ray-tracing, and
L1 AND L2 CACHES                                      sparse matrix multiplication where data addresses are not known
beforehand
ASYNCHRONOUS TRANSFER WITH DUAL DMA                   Turbocharges system performance by transferring data over the PCIe
ENGINES                                               bus while the computing cores are crunching other data.
FLEXIBLE PROGRAMMING ENVIRONMENT WITH                 Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express
BROAD SUPPORT OF PROGRAMMING LANGUAGES                application parallelism and take advantage of the innovative Kepler
AND APIS                                              architecture.
End-user can convert power headroom to higher clocks and achieve
even greater acceleration for various HPC workloads on Tesla K80.
TESLA GPUBOOST
Dynamically scales GPU clocks for maximum application performance
and improved energy efficiency
Increases effective throughput and bandwidth with 2x shared memory
2X SHARED MEMORY AND 2X REGISTER FILE
and 2x register file compared to the K40
ZERO-POWER IDLE                                       Increases data center energy efficiency by powering down idle GPUs
when running legacy nonaccelerated workloads
Software and Drivers
SOFTWARE APPLICATION PAGE                            www.nvidia.com/teslaapps
TESLA GPU COMPUTING ACCELERATORS SUPPORTED OS        Linux (64-bit) and Windows (64-bit)
DRIVERS                                              www.pny.eu/drivers
LEARN MORE ABOUT TESLA DATA CENTER MANAGMENT TOOLS   www.nvidia.com/softwarefortesla
TESLA in Comparison
TESLA K80 1  TESLA K40   TESLA K20X  TESLA K20    TESLA K10 1
Peak double-precision floating point performance   2.91 Tflops  1.66 Tflops  1.31 Tflops  1.17 Tflops  0.19 Tflops
(board, boost clocks)
Peak single-precision floating point performance   8.74 Tflops  5 Tflops  3.95 Tflops  3.52 Tflops  4.58 Tflops
(board, boost clocks)
Number of GPUs                                2 x GK210   1 x GK110B         1 x GK110          2 x GK104
Number of CUDA cores                            4992         2880        2688         2496        3072
Memory size per board (GDDR5)                   24 GB       12 GB        6 GB         5 GB        8 GB
Memory bandwidth for board (ECC off)™         480 Gb/s     288 Gb/s    250 Gb/s     208 Gb/s    320 Gb/s
Architecture features                                   SMX, Dynamic Parallelism, Hyper-Q         SMX
Servers &                Servers &
System                                         Servers                  Servers                  Servers
Workstations             Workstations
1 Specifications are shown as aggregate of two GPU’s
More information: www.pny.eu/tesla  © 2014 NVIDIA Corporation and PNY. All rights reserved. NVIDIA, the NVIDIA logo, Quadro, CUDA and Kepler are trade-  PNY Technologies Europe
Follow us: @PNYproDE  - @PNYproFR  - @PNYproUK  marks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. The PNY logotype is a regis-  sales@pny.eu | T: +33 (0)5 56 13 75 75
tered trademark of PNY Technologies. All other trademarks and copyrights are the property of their respective owners. Dez14