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کارت گرافیک پی ان وای تسلا ورک استیشن PNY Nvidia Tesla K80 24GB GPU Accelerator passive cooling 2x Kepler GK210 CUDA Cores 4992, 2496 CUDA Cores per GPU, Memory bandwidth: 480 GB/sec 2.91 Tflops double precision performance, NVIDIA GPU Boost 384-bit GDDR کارت گرافیک تسلا کوادرو انویدیا ورک استیشن سرور گرید پی ان وای پنی جی پی یو ترافلاپس حافظه رم مموری PNY Nvidia Tesla K80 24GB GPU Accelerator passive cooling 2x Kepler GK210 CUDA Cores 4992, 2496 CUDA Cores per GPU, Memory bandwidth: 480 GB/sec 2.91 Tflop

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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. The Tesla K80 accelerator delivers more than 2x application speed-up compared to the previous g ...ادامه مطلب

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  • مشخصات فنی

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. 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.

http://www.pny.eu/data/products/article-header-picture/277-20150331003900.png

Accelerate your most demanding data analytics and scientific computing applications with NVIDIA Tesla GPU Accelerators. Based on the NVIDIA Kepler Architecture, Tesla accelerators are designed to deliver faster, more efficient compute performance.

 

From energy exploration to machine learning, data scientists can crunch through petabytes of data with Tesla accelerators, up to 10x faster than with CPUs. For computational scientists, Tesla accelerators deliver the horsepower needed to run bigger simulations faster than ever.

 

Tesla K80 GPU Accelerator

A dual GPU board that combines 24 GB of memory with blazing fast memory bandwidth and up to 2.91 Tflops double precision performance with NVIDIA GPU Boost, the Tesla K80 GPU is designed for the most demanding computational tasks. It's ideal for single and double precision workloads that not only require leading compute performance but also demands high data throughput.

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 performance

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 parallel-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 accelerating

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.

TESLA K801 - PRODUCT SPECIFICATIONS

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

PART NUMBER:

TCSK80M-PB

NVIDIA TESLA K80 by PNY

THE WORLD’S FASTEST ACCELERATOR

FOR DATA ANALYTICS AND SCIENTIFIC

NVIDIA® TESLA K80 by PNY

© 2014 NVIDIA Corporation and PNY. All rights reserved. NVIDIA, the NVIDIA logo, Quadro, CUDA, and Kepler are trademarks

and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. The PNY logotype is a registered

trademark of PNY Technologies. All other trademarks and copyrights are the property of their respective owners. Dez14

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

PNY Technologies Europe

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More information: www.pny.eu/tesla

Follow us: @PNYproDE - @PNYproFR - @PNYproUK

NVIDIA® TESLA K80 by PNY

© 2014 NVIDIA Corporation and PNY. All rights reserved. NVIDIA, the NVIDIA logo, Quadro, CUDA and Kepler are trademarks

and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. The PNY logotype is a registered

trademark of PNY Technologies. All other trademarks and copyrights are the property of their respective owners. Dez14

TELSA K80 - Features

ECC MEMORY ERROR PROTECTION

Meets a critical requirement for computing accuracy and reliability in

datacenters and supercomputing centers. Both external and internal

memories are ECC protected in Tesla K80.

SYSTEM MONITORING FEATURES

Integrates the GPU subsystem with the host system’s monitoring and

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.

L1 AND L2 CACHES

Accelerates algorithms such as physics solvers, ray-tracing, and

sparse matrix multiplication where data addresses are not known

beforehand

ASYNCHRONOUS TRANSFER WITH DUAL DMA

ENGINES

Turbocharges system performance by transferring data over the PCIe

bus while the computing cores are crunching other data.

FLEXIBLE PROGRAMMING ENVIRONMENT WITH

BROAD SUPPORT OF PROGRAMMING LANGUAGES

AND APIS

Choose OpenACC, CUDA toolkits for C, C++, or Fortran to express

application parallelism and take advantage of the innovative Kepler

architecture.

TESLA GPUBOOST

End-user can convert power headroom to higher clocks and achieve

even greater acceleration for various HPC workloads on Tesla K80.

Dynamically scales GPU clocks for maximum application performance

and improved energy efficiency

2X SHARED MEMORY AND 2X REGISTER FILE Increases effective throughput and bandwidth with 2x shared memory

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

TESLA in Comparison

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 K801 TESLA K40 TESLA K20X TESLA K20 TESLA K101

Peak double-precision floating point performance

(board, boost clocks) 2.91 Tflops 1.66 Tflops 1.31 Tflops 1.17 Tflops 0.19 Tflops

Peak single-precision floating point performance

(board, boost clocks) 8.74 Tflops 5 Tflops 3.95 Tflops 3.52 Tflops 4.58 Tflops

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

System Servers Servers &

Workstations Servers Servers &

Workstations Server

مشخصات فنی

  • TESLA K80
  • PCI Express 3.0
  • 24GB GDDR5
  • Base clock: 560 MHz
    Boost clock: 562 - 875 MHz
  • 4992
  • 2.5 GHz
  • 384-bit
  • Memory Size 24GB GDDR5 (12 GB per GPU) Memory Interface 384-bit Memory Bandwidth (ECC off)) 480GB/s (per board)
    240 GB/s (per GPU) CUDA Cores 4992 System Interface PCI Express 3.0 x16 Processor core clock Base clock: 560 MHz
    Boost clock: 562 - 875 MHz Memory clock 2.5 GHz Cache L1 and L2 Max. Consumption 300 W Number of GPUs 2 × GK210 Energy Star Enabling Yes Conformité Européenne (CE) Yes Thermic Solution Passive Format 111.150 mm (H) × 267 mm (L) - Dual Slot, Full-Height Connectors 1 × 8-pin CPU power connectors
    (2 x 8-pin PCIe to single 8-pin CPU adapter included) SMX Yes Dynamic Parallelism Yes Hyper-Q Yes GPU Computing Applications Reservoir simulation
    CAE (structural analysis)
    Molecular dynamics, Numerical analytics
    Computational visualization (ray tracing) 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 Servers Compatible with Windows 64-bit
    Linux 64-bit PNY Part Number TCSK80M-PB - See more at: http://www.pny.eu/consumer/explore-all-products/nvidia-tesla/277-tesla-k80m#sthash.YaPJe6Lg.dpuf
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  • کارت محاسباتی با پردازشگر گرافیکی انودیا شرکت پی ان وای سری ورک استیشن تسلا Nvidia Tesla K80 24GB GPU Accelerator passive cooling 2x Kepler GK210 CUDA Cores 4992, 2496 CUDA Cores per GPU, Memory bandwidth: 480 GB/sec 2.91 Tflops double precision performance, NVIDIA GPU Boost 384-bit GDDR5 PCI Express 3.0 x16 GPU Accelerators

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