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Sledované položky Přihlásit se
Silver 2U rack server chassis with front drive bays and control panel

DELL

DELL PowerEdge R860 2U rack server, 4 Xeon max, 64 DDR5 slots, 16 TB max, 4800 MT/s

SKU CH-YRWR-K2DPP MPN PowerEdge_R860

A 2U rack server supporting up to four Xeon processors with 60 cores each, 64 DDR5 slots for 16 TB at 4800 MT/s, and SAS storage

  • WorkloadLarge In-Memory Database Analytics, and dense virtualization
  • TypeRack
  • Rack Height2U
  • SecurityCryptographically signed firmware Data at Rest Encryption (S
  • CPU TypeIntel Xeon Scalable
  • # of Processors Installed0
  • Supports large in-memory databases with up to 16 TB DDR5 capacity
  • Dense virtualization performance from four Xeon processors with 60 cores each
  • 64 DDR5 slots at 4800 MT/s enable high-speed memory scaling
  • Hardware-rooted security via Silicon Root of Trust and cryptographically signed firmware
  • Compact 2U rack form factor fits standard 3.41 x 18.97 x 34.77 inch dimensions

2U Rack Server for Analytics

The DELL PowerEdge R860 is a 2U rack server designed for large in-memory database analytics and dense virtualization workloads. It supports up to four Intel Xeon Scalable processors with up to 60 cores each. The chassis arrives with no processors or memory installed, allowing full customisation for compute-intensive environments.

Installation and Common Issues

Mounting the 2U chassis in a standard rack is straightforward, but the system ships empty of CPUs and DIMMs so integrators must source and install up to four processors and populate up to 64 DDR5 slots. Careful handling of the high-density memory tray is required; missing or mismatched RDIMMs are the most frequent cause of post-build boot failures.

16 TB DDR5 at 4800 MT/s

The decisive specification is the maximum memory capacity of 16 TB across 64 slots running at 4800 MT/s with DDR5 RDIMMs. This ceiling determines whether the platform can hold the working set for in-memory analytics or dense VDI deployments; workloads needing more capacity will require a different architecture.

Přednosti

  • Supports large in-memory databases with up to 16 TB DDR5 capacity
  • Dense virtualization performance from four Xeon processors with 60 cores each
  • 64 DDR5 slots at 4800 MT/s enable high-speed memory scaling
  • Hardware-rooted security via Silicon Root of Trust and cryptographically signed firmware
  • Compact 2U rack form factor fits standard 3.41 x 18.97 x 34.77 inch dimensions

Specifikace

BrandDELL
SeriesPowerEdge R860
WorkloadLarge In-Memory Database Analytics, and dense virtualization/vdi
TypeRack
Rack Height2U
SecurityCryptographically signed firmware
Data at Rest Encryption (SEDs with local or external key mgmt)
Secure Boot
Secured Component Verification (Hardware integrity check)
Secure Erase
Silicon Root of Trust
System Lockdown (requires iDRAC9 Enterprise or Datacenter)
TPM 2.0 FIPS, CC-TCG certified, TPM 2.0 China NationZ
CPU TypeIntel Xeon Scalable
# of Processors Installed0
MAX Processors4
Installed Memory SizeNo
Memory TypeDDR5
Max Memory Capacity16TB
Memory Features4800MT/s RDIMMs
Number of Memory Slots64
Hard Drive (Installed)None
HDD InterfaceSAS
SSD (Installed)No
Dimensions3.41" x 18.97" x 34.77"
Přepravní hmotnost22.68 kg
Rozměry balení762 × 635 × 254 mm

Otázky k tomuto produktu

How do I verify the PowerEdge R860 is working correctly after initial setup?

Check iDRAC9 for cryptographically signed firmware status, Secure Boot state, and Silicon Root of Trust attestation; confirm all four Xeon sockets show present and 64 DDR5 slots report 4800 MT/s RDIMMs.

What ships with the R860 and what must be purchased separately?

The 2U chassis measuring 3.41 x 18.97 x 34.77 inches ships empty — zero processors installed, no memory, no drives; you must add up to four Xeon Scalable CPUs, DDR5 RDIMMs, and SAS storage.

Which memory configuration should I choose for the 64 DDR5 slots?

Populate with 4800 MT/s DDR5 RDIMMs up to the 16 TB maximum; match capacity per processor to balance the four Xeon memory controllers for Large In-Memory Database Analytics workloads.

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