NVIDIA Tesla Kepler K20 GPU Accelerator for Server

NVIDIA Tesla Kepler K20 GPU Accelerator for Server

NVIDIA Tesla Kepler K20 GPU Accelerator for Server

B&H # NVTESK205PS MFR # 900-22081-0010-000
NVIDIA Tesla Kepler K20 GPU Accelerator for Server

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Product Highlights

  • Kepler GK110 GPU
  • 2496 CUDA Cores
  • 5 GB Memory Size (GDDR5)
  • 208 Gb/s Memory Bandwidth
  • 3.52 Teraflops Peak Single Precision
  • SMX, Dynamic Parallelism Technology
  • ECC Memory Error Protection
  • L1 and L2 Caches
  • Hyper-Q Technology
  • Supports Windows & Linux Servers
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  • 1Description

The Tesla Kepler K20 GPU Accelerator for Server from nVIDIA is based on the nVIDIA Kepler compute architecture and powered by CUDA. It includes innovative technologies like Dynamic Parallelism and Hyper-Q that boost performance as well as power efficiency and deliver record application speeds for seismic processing, biochemistry simulations, weather and climate modeling, image, video and signal processing and more.

SMX (Streaming Multiprocessor)
Telsa K20 features SMX technology which delivers up to three times more performance per watt compared to the SM in Fermi. It also delivers one petaflop of computing in just ten server racks.
Dynamic Parallelism
Dynamic Parallelism capability enables GPU threads to automatically spawn new threads. By adapting to the data without going back to the CPU, it greatly simplifies parallel programming. Additionally, it enables GPU acceleration of a broader set of popular algorithms like adaptive mesh refinement (AMR), fast multi-pole method (FMM) and multi-grid methods.
Hyper-Q Technology
The Hyper-Q feature enables multiple CPU cores to simultaneously utilize the CUDA cores on a single Kepler GPU. This dramatically increases GPU utilization, slashes CPU idle times and advances programmability-ideal for cluster applications that use MPI.
ECC Memory Error Protection
ECC memory meets the critical requirement for computing accuracy and reliability in data centers and super-computing centers. Both external and internal memories are ECC protected in Tesla K20.
System Monitoring Feature
Integrates the GPU subsystem with the host system's monitoring and management capabilities such as IPMI or OEM-proprietary tools. IT staff can now 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 in advance.
Asynchronous Transfer with Dual DMA Engines
Turbo-charges system performance by transferring data over the PCIe bus while the computing cores are executing other data.
Flexible Programming Environment with Broad Support for 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.
GPU Computing Applications
With more than one teraflop peak double precision performance, the GPU accelerator is ideal for the most aggressive high-performance computing workloads including climate and weather modeling, CFD, CAE, computational physics, biochemistry simulations, and computational finance.
In the Box
NVIDIA Tesla Kepler K20 GPU Accelerator for Server
  • 3-Year Limited Warranty
  • Table of Contents
    • 1Description
    GPU Kepler GK110
    Interface PCIe Gen2 ×16
    CUDA Cores 2496
    Double Precision Floating Point 1.17 Teraflops
    Single Precision Floating Point 3.52 Teraflops
    Memory Specifications
    Memory Type GDDR5
    Memory Size 5 GB

    With ECC on, 12.5% of the GPU memory is used for ECC bits. So, for example, 6 GB total memory yields 5.25 GB of user available memory with ECC on.

    Memory Bandwidth 208 Gb/s (ECC off)
    Memory Clock 2.6 GHz
    Memory I/O 320-bit
    Memory Configurations 20 pieces of 64M ×16
    Power Connectors 8-pin PCIe
    6-pin PCIe
    Board Power 225 W
    Idle Power 25 W
    Applications CFD, CAE, financial computing, computational chemistry and physics, data analytics, satellite imaging, weather modeling
    System Server and Workstations
    System Supports
    OS Supported Windows Server 2012, 2008 R2 and 2008 64-bit (all editions)
    Linux 64-bit

    RHEL 5.4 Server
    Ubuntu 9.10 Server
    RHEL 4.8 Server
    SLES 11
    Packaging Info
    Package Weight 2.35 lb
    Box Dimensions (LxWxH) 11.9 x 7.0 x 3.0"

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