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GE PCIE-5565RC-100000.0025

Technical Specifications (Assumptive, based on similar products):

  • Form Factor: PCIe (Peripheral Component Interconnect Express) Card, typically designed for use in a PCIe slot of a compatible host system.

  • Interface:

    • Primary: PCIe x16 or similar, depending on the bandwidth and speed requirements.
    • Secondary: May include additional interfaces such as Ethernet, Serial, or other I/O ports depending on the specific model’s design.
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Detailed content

 

  • Processing Power:

    • Could incorporate a custom or off-the-shelf processor, the specific model of which would determine computational capabilities.
    • May have dedicated GPUs (Graphical Processing Units) or other accelerators for specialized tasks.

  • Memory:

    • Equipped with onboard memory, either DDR3, DDR4, or more recent standards, with varying capacities depending on the model.
    • Could support additional memory expansion via DIMMs or other forms of memory modules.

  • Storage:

    • May include onboard flash storage or SSDs (Solid-State Drives) for data storage and caching.
    • Could support external storage devices via additional interfaces.

  • Connectivity:

    • High-speed Ethernet interfaces (e.g., Gigabit Ethernet, 10GbE, or faster) for network connectivity.
    • Other I/O interfaces (e.g., USB, SATA, HDMI, DisplayPort) for connecting peripherals and displays.

Functional Characteristics:

  • High Performance: Designed to provide high computational power and data throughput for demanding applications.
  • Flexibility: Configurable to meet specific application requirements through software, firmware, or hardware upgrades.
  • Reliability: Built with redundant components and fault-tolerant designs to ensure continuous operation in critical environments.
  • Low Latency: Optimized for low latency performance, essential for real-time applications and high-frequency trading.
  • Scalability: Supports upgrades and expansions to accommodate growing data volumes and computational needs.

Application Scenarios:

  • Data Centers: Deployed in data centers for high-performance computing (HPC), virtualization, and cloud services.
  • Industrial Automation: Used in industrial automation systems for real-time control, data acquisition, and machine learning.
  • Scientific Research: Ideal for scientific computing applications, including simulations, modeling, and data analysis.
  • Financial Services: Utilized in financial institutions for high-frequency trading, risk management, and algorithmic trading.
  • Media and Entertainment: Supports demanding workflows in media production, post-production, and content delivery.
  • Medical Imaging: Found in medical imaging systems for processing and analyzing large volumes of medical imaging data..

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