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PNY Nvidia TESLA K20X Module

PNY Nvidia TESLA K20X Module

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Quicklinx: 9Y9NWS00 Mfr#: TCSK20X-PB
Discontinued

Description

Designed to be the performance leader in double precision applications and the broader supercomputing market, the K20X GPU Accelerators deliver 10x, the performance of a single CPU. Tesla K20X features a single GK110 Kepler GPU that includes, the dynamic parallelism and Hyper-Q features. With more than one teraflop peak double precision performance, these GPU accelerators are ideal for the most aggressive high-performance computing workloads including climate and weather modeling, CFD, CAE, computational physics, biochemistry simulations, and computational finance

With teraflops of single and double precision performance, NVIDIA Kepler GPU computing accelerators are the world's fastest and most efficient high performance computing (HPC) companion processors. Based on the Kepler compute architecture, which is 3 times higher performance per watt than the previous "Fermi" compute architecture, the Tesla Kepler GPU computing accelerators make hybrid computing dramatically easier, and applicable to a broader set of computing applications. NVIDIA Tesla GPUs deliver the best performance and power efficiency for seismic processing, biochemistry simulations, weather and climate modeling, image, video and signal processing, computational finance, computational physics, CAE, CFD, and data analytics.

  • ECC memory error protection

    It meets a critical requirement for computing accuracy and reliability in datacenters and supercomputing centers. External DRAM is ECC protected in Tesla K10 and both external and internal memories are ECC protected in Tesla K20X.
  • System monitoring features

    It 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.

Specifications

Summary

Product Description
NVIDIA Tesla K20X - GPU computing processor - Tesla K20X - 6 GB
Device Type
GPU computing processor
Bus Type
PCI Express 2.0 x16
Graphics Engine
NVIDIA Tesla K20X
Memory
6 GB GDDR5
CUDA Cores
2688
Memory Interface
320-bit
Dimensions (WxDxH)
26.5 cm x 11 cm


Detailed Specification

General

Device Type
GPU computing processor
Bus Type
PCI Express 2.0 x16
Graphics Engine
NVIDIA Tesla K20X
CUDA Cores
2688
Features
Nvidia CUDA technology, Error Correcting Codes (ECC) Memory, dual slot heatsink, SMX technology, Kepler GPU Architecture, Dynamic Parallelism, Hyper-Q

Memory

Size
6 GB
Technology
GDDR5 SDRAM
Bus Width
320-bit
Bandwidth
250 GBps

System Requirements

Additional Requirements
Two 6-pin power connectors

Miscellaneous

Power Consumption Operational
225 Watt
Depth
26.5 cm
Height
11 cm
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