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752803-B21 HP DL380 G8 Wide Graphic Processing Riser Cage Kit
(image for) 752803-B21 HP DL380 G8 Wide Graphic Processing Riser Cage Kit
(image for) 752803-B21 HP DL380 G8 Wide Graphic Processing Riser Cage Kit
  • Model: 752803-B21,728536-001
  • Shipping Weight: 2 kg
  • In Stock: 11
  • Manufactured by: HPE

752803-B21 HP DL380 G8 Wide Graphic Processing Riser Cage Kit


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Description

HPE DL380p Gen8 Double Wide Graphic Processing Unit Riser Cage Kit Slot Expander HPE Part #: 752803-B21

  • Brand: HPE
  • Part #: 752803-B21,728536-001,728537-001,755741-001
  • Specs:-
  • ::Type: Riser Card / Riser Cage Kit
  • ::Description: HPE DL380p Gen8 Double Wide Slot1 Riser Cage Kit
  • ::PCI Interafce: Provides one PCI Express x16 physical slot (electrically x16) and one additional slot.
  • ::Location: Primary Riser Position (Slot 1 / closest to CPU 1)
  • ::Supported Card Type: Will allow for one double-wide PCIe card (e.g., a high-performance GPU) and typically one single-wide PCIe card in the same riser assembly.
  • Compatibility: 
  •   ::  HPE DL380p Gen8
  • Condition: New
  • Warranty: 1 (one) year Tekmart Africa warranty
  •  

INT261125USLY2025

**Eligible for immediate collection / shipping  upon order confirmation*

Key points to note on these 752803-B21 HPE Riser Cards:-

This SKU:752803-B21 is a  part number corresponding to an HPE Double Wide Riser Cage Kit for the HP ProLiant DL380p Generation 8 (Gen8) server.

This kit is an accessory used to enhance the expansion capabilities of the server by providing a double-wide slot for installing expansion cards (like certain graphics cards or specialized I/O cards). 

**These are NOT standard options on all base DL380p Gen8 models, but rather an optional kit that is purchased and installed to enable higher-power expansion cards, like certain GPUs (Graphics Processing Units).Each is  a specialized expansion part for the HP ProLiant DL380p Gen8 server.**

Its primary specification is to allow the installation of larger, high-power expansion cards, like certain GPUs, into the server.

When using this double-wide riser kit, there are specific server configuration requirements, particularly for high-power cards like GPUs:

  • ::Chassis Restriction: The double-wide riser cage kit is NOT supported in the 8LFF (Large Form Factor), 12LFF, and 25SFF (Small Form Factor) configured servers. It is typically supported in the 8 SFF chassis.
  • ::Power Supply: To support high-power double-wide cards (like NVIDIA K1 or K2 GPUs), the server usually requires the installation of two 1200W Power Supply Kits.

  • ::Processor: For some supported configurations (like specific GPU models), the use of the second processor (CPU 2) and the Intel Xeon E5-2600 v2 series processors may be required.

  •  

The target audience for the HP DL380p Gen8 Wide Graphic Processing Riser Cage Kits (like the SKU:728536-001), is any organization or user who needs to turn a standard rack server into a High-Performance Computing (HPC) or accelerated computing platform. Thes are, but not limited to-research institutions, universities, pharmaceutical companies, and energy/oil and gas exploration firms.

Below are the key target audiences and their application / use cases:

1. High-Performance Computing (HPC) & Scientific Research

Audience: Research institutions, universities, pharmaceutical companies, and energy/oil and gas exploration firms.

  • Use Cases:
  • ::Computational Fluid Dynamics (CFD): Simulating air/liquid flow.
  • ::Weather Forecasting & Climate Modeling: Running complex atmospheric models.
  • ::Molecular Dynamics/Chemistry: Simulating atomic and molecular interactions.
  • ::Seismic Processing: Analyzing subsurface data for oil/gas exploration.
  •  

2. Artificial Intelligence (AI) and Machine Learning (ML)

Audience: Data science teams, AI start-ups, and technology firms.

  • Use Cases:
  • ::Deep Learning Training & Inference: GPUs are essential for accelerating the processing of large datasets during the training phase of neural networks.
  • ::Big Data Analytics: Processing massive volumes of data much faster than with standard CPUs alone.
  •  

3.Virtual Desktop Infrastructure (VDI) / Virtual Workstations

Audience: Enterprises with remote workers who need high-performance graphics, such as design, engineering, or media firms.

  • Use Cases:
  • ::CAD/CAM: Running design software (like AutoCAD, SolidWorks) in a virtual environment.
  • ::3D Rendering: Hosting virtual machines that share a GPU's power for rendering complex models and visualizations.
  • ::Media and Entertainment: Video editing and post-production.
  •  

4. Homelab / Enthusiasts

Audience: IT professionals and hobbyists running private, high-powered labs at home.

  • Use Cases:
  • ::Experimenting with AI/ML, VDI, or GPU passthrough to virtual machines for gaming or streaming in a home environment.
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