NVIDIA TESLA K80 by PNY NVIDIA® TESLA K80 by PNY - Future-X

NVIDIA TESLA K80 by PNY NVIDIA® TESLA K80 by PNY - Future-X
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 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.
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
MEMORY SIZE PER BOARD
24 GB GDDR5 (12 GB per board)
MEMORY INTERFACE
384-bit
MEMORY BANDWIDTH
480 Gb/s1
CUDA CORES
49921
PEAK DOUBLE PRECISION FLOATING POINT PERFORMANCE
1.43 Tflops (per card)
PEAK DOUBLE PRECISION FLOATING POINT PERFORMANCE
4.29 Tflops (per card)
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
EAN NUMBER
3536403344344
More information: www.pny.eu/quadro
Follow us: @PNYproDE - @PNYproFR
- @PNYproUK
© 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
PNY Technologies Europe
sales@pny.eu | T: +33 (0)5 56 13 75 75
NVIDIA® Quadro® K5200 by PNY
TELSA K80 - Features
Meets a critical requirement for computing accuracy and reliability in
datacenters and supercomputing centers. Both external and internal
memories are ECC protected in Tesla K40.
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.
Accelerates algorithms such as physics solvers, ray-tracing, and
sparse matrix multiplication where data addresses are not known
beforehand
ECC MEMORY ERROR PROTECTION
SYSTEM MONITORING FEATURES
L1 AND L2 CACHES
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.
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
TESLA GPUBOOST
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
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 K801
TESLA K40
TESLA K20X
TESLA K20
TESLA K101
Peak double-precision floating point performance
(board)
1.87 Tflops
1.43 Tflops
1.31 Tflops
1.17 Tflops
0.19 Tflops
Peak double-precision floating point performance
(board)
5.6 Tflops
4.29 Tflops
3.95 Tflops
3.52 Tflops
4.58 Tflops
Number of GPUs
2 x GK210
1 x GK110B
Number of CUDA cores
4992
2880
2688
2496
3072
Memory size per board (GDDR5)
24 GB
12 GB
6 GB
5 GB
8 GB
480 Gb/s
288 Gb/s
250 Gb/s
208 Gb/s
320 Gb/s
Memory bandwidth for board (ECC off)™
Architecture features
1 x GK110
2 x GK104
SMX, Dynamic Parallelism, Hyper-Q
System
Servers
Servers &
Workstations
Servers
SMX
Servers &
Workstations
Servers
1 Specifications are shown as aggregate of two GPU’s
More information: www.pny.eu/quadro
Follow us: @PNYproDE - @PNYproFR
- @PNYproUK
© 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
PNY Technologies Europe
sales@pny.eu | T: +33 (0)5 56 13 75 75
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