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DELL

DELL PowerEdge R930 4U rack server 4x Xeon E7-8890 v4 2.2GHz 24-core 384GB DDR4 4x 1.92TB SSD H730P

SKU CH-YWEF-SMVQC

A 4U rack server with four 24-core Xeon processors at 2.2 GHz, 384 GB DDR4 memory, H730P RAID controller and four 1.92 TB SATA SSDs

  • Rack Height4U
  • CPU TypeIntel Xeon
  • CPU Speed2.20 GHz
  • CPU SocketLGA 2011
  • Number of CPU Cores24-Core Processor
  • # of Processors Installed4
  • 96 cores from 4 Xeon E7-8890 v4 24-core CPUs handle massive parallel workloads
  • 384GB DDR4 2400MHz ECC memory supports large in-memory databases and virtualization
  • 4x 1.92TB SATA SSDs on H730P controller deliver fast RAID-protected storage
  • iDRAC8 Enterprise enables remote lifecycle management and agent-free provisioning
  • 4x 1100W 80+ Platinum PSUs provide redundant power for mission-critical uptime

Enterprise compute density

The Dell PowerEdge R930 is a 4U rack server built for organisations running mission-critical databases, virtualisation clusters or analytics workloads that demand maximum core count and memory capacity in a single chassis. Four Xeon E7-8890 v4 processors deliver 96 cores at 2.2 GHz with 3.4 GHz turbo, targeting IT teams consolidating Oracle, SAP HANA or SQL Server environments.

Installation reality

The unit ships fully populated with 48 memory modules, four 1.92 TB SSDs, the H730P RAID controller, quad-port networking and four 1100 W power supplies, so physical assembly is limited to racking the 4U chassis with the included rails. Weight and depth require two people and a compatible rack; cable routing for the X520/I350 daughter card and iDRAC8 Enterprise module can be tight in dense rows.

Capacity and headroom

Installed memory sits at 384 GB across 96 slots, leaving room to scale toward the 12 TB maximum for in-memory database growth. Four 2.5-inch bays are occupied by the SSDs in RAID 0/1/5/6/10/50/60, while the chassis supports up to 24 drives plus eight NVMe devices for future I/O expansion. The Matrox G200 graphics with 8 MB video memory covers only basic console output.

Punti di forza

  • 96 cores from 4 Xeon E7-8890 v4 24-core CPUs handle massive parallel workloads
  • 384GB DDR4 2400MHz ECC memory supports large in-memory databases and virtualization
  • 4x 1.92TB SATA SSDs on H730P controller deliver fast RAID-protected storage
  • iDRAC8 Enterprise enables remote lifecycle management and agent-free provisioning
  • 4x 1100W 80+ Platinum PSUs provide redundant power for mission-critical uptime

Caratteristiche tecniche

BrandDELL
SeriesPowerEdge R930
Rack Height4U
CPU TypeIntel Xeon
CPU Speed2.20 GHz
CPU SocketLGA 2011
Number of CPU Cores24-Core Processor
# of Processors Installed4
MAX Processors4
ChipsetIntel C602J
Installed Memory Size384GB
Memory TypeDDR4
Max Memory Capacity12TB
Number of Memory Slots96
Storage ControllerDell Perc H730P 2GB Controller
HDD InterfaceSATA
SSD (Installed)4 x 1.92TB SATA SSD
Raid LevelRAID 0/1/5/6/10/50/60
GPU TypeMatrox G200
Video Memory8MB
Ethernet ControllerDell Intel X520/I350 Quad Port 2x 1GbE 2x 10Gb SFP+ Network Daughter Card
LAN Ports4 x Ports
Expansion Slots1 x PCIe 3.0 x16 Slot, Single Riser Included (Riser 3)
Management PortRJ 45
Operating SystemNo

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Domande su questo articolo

How do I verify the PERC H730P controller is managing the four 1.92TB SSDs in a healthy RAID array after setup?

Open the H730P BIOS utility or iDRAC8 Enterprise storage view; both will show the virtual disk state, drive health and battery-backed cache status for the installed SSDs.

Which components ship with the server and which must be sourced separately?

The chassis includes four Xeon E7-8890 v4 processors, 384GB DDR4 (48×8GB), H730P controller, four 1.92TB SATA SSDs, X520/I350 quad-port network daughter card, iDRAC8 Enterprise, four 1100W PSUs, bezel and ReadyRails; OS licences and extra drives or memory are not included.

Should I choose the 384GB DDR4 configuration or add more modules up to the 12TB maximum?

Start with the 384GB (48×8GB) installed kit; the board has 96 DDR4 slots total, so you can add matching registered ECC DIMMs later if workloads such as SAP HANA or in-memory analytics demand more capacity.

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