Hewlett Packard Enterprise SH885B Tesla M2050 3GB GDDR5 graphics card

Hewlett Packard Enterprise SH885B Tesla M2050 3GB GDDR5 graphics card

MPN: SH885B
🚚 Select the country of delivery:
Delivery from:
Germany
Updating price ... 📣 Send Price inquiry Не поставляется
Delivery cost & estimated delivery time:
От
days

Where to buy and prices (Advertising *)

On Top
в наличии
* Alle Preise inkl. der jeweils geltenden gesetzlichen Mehrwertsteuer, ggfs. zzgl. Versandkosten. Alle Angaben ohne Gewähr. Preisänderungen sind in der Zwischenzeit möglich.

Technical specifications

On Top

Memory

Graphics adapter memory type GDDR5
Memory bandwidth (max) 148 GB/s
Memory bus 384 bit
Memory clock speed 1550 MHz
Discrete graphics adapter memory 3 GB

System requirements

Server operating systems supported Windows Server 2008

Other features

HDMI N
Mac compatibility N

Processor

Graphics processor family NVIDIA
CUDA Y

Ports & interfaces

Interface type PCI Express x16

Performance

PhysX N
TV tuner integrated N
HDCP N

Design

Number of slots 2
Cooling type Passive

Additionally

Graphics controller Tesla M2050
Dual-link DVI N
Tesla M2050, 3072 Mb DDR5, 1550 Mhz, 384-bit, PCIe x16 - The NVIDIA Tesla Computing Modules enable seamless integration of GPU computing with HP ProLiant servers for scale-out deployments. The Tesla GPUs have a capacity of up to 6 GB of GDDR5 memory with ECC, and peak performance of 655 double-precision Gflops or over 1.3 single-precision Tflop. The Tesla M2070Q combines Tesla’s high performance computation with the NVIDIA Quadro® professional-class visualization in the same GPU. The HP GPU Ecosystem includes the CUDA programming interface and third-party CUDA development tools, as well as HP-supported GPU-aware cluster software such as the HP Cluster Management Utility (CMU). CMU will monitor and display GPU health such as temperature and will also install and provision the GPU drivers and the CUDA software. In addition, HP HPC Linux Value Pack includes a GPU-enhanced version of Platform LSF, with the capability of scheduling jobs based on GPU requirements.
- May dramatically reduce computational time for parallel applications. Reduces time to solution, thus enabling businesses to solve problems previously limited by CPU speed
Фотографии

    Password recovery
    To recover your password, please enter in the box below your email address with which you have registered:
    The password reset code has been sent to your Email.
    Код уже был отправлен Вам ранее.
    Вы можете ввести его в поле выше, или получить новый код через сек.
    An error has occurred. Please check your e-mail address and try again.
    Ваш новый пароль:

    Name is empty


    Выберите страну доставки

    You have not written a message

    By clicking on the "Send" button, you agree that your data will be used to process your request. Further information and revocation instructions can be found in the data protection declaration.

    Your message has been sent!

    Close

    1
    Catalog
    Cancel Close
    Бренды:
      Выберите бренды
        Show more close
          Area search
          Worldwide
          Категории
            Product