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Silver 4U rack server chassis with four NVIDIA HGX H100 GPUs visible inside

DELL

DELL PowerEdge XE8640 4U rack server 4 NVIDIA HGX H100 80GB GPUs

SKU CH-VE09-WD3JG MPN PowerEdge_XE8640

4U rack server housing four NVIDIA HGX H100 80GB GPUs for AI and HPC workloads

  • WorkloadDrive AI, HPC and analytics workloads with superior performa
  • TypeRack
  • Rack Height4U
  • SecurityCryptographically signed firmware Data at Rest Encryption (S
  • CPU TypeIntel Xeon Scalable
  • # of Processors Installed0
  • Drive AI, HPC and analytics workloads with four NVIDIA HGX H100 80GB GPUs
  • Scale compute with dual Xeon processors and 32 DDR5 memory slots
  • Store massive datasets on up to 8 NVMe SSDs totalling 122.88 TB
  • Protect data with signed firmware, secure boot and hardware root of trust
  • Manage remotely via iDRAC Direct USB and dedicated RJ45 ethernet

AI and HPC compute platform

The Dell PowerEdge XE8640 is a 4U rack server pre-configured with four NVIDIA HGX H100 80GB SXM5 GPUs. It targets organisations running large-scale AI training, high-performance computing and analytics workloads. The system ships without CPUs or memory installed, allowing custom processor and memory selection.

Verify processor, memory and power infrastructure

Two 4th Generation Intel Xeon Scalable processors and DDR5 RDIMMs must be sourced separately to populate the 32 memory slots. The Intel C741 chipset governs platform connectivity. Each GPU draws 700 W, so facility power delivery and cooling capacity must be confirmed before deployment.

Integrates into dense GPU clusters

The chassis provides front-access storage bays supporting up to eight 2.5-inch NVMe SSDs with a combined capacity of 122.88 TB. Rear I/O includes USB 2.0, USB 3.0, VGA and a dedicated RJ45 iDRAC9 management port. Cryptographically signed firmware, Secure Boot and Silicon Root of Trust secure the hardware supply chain.

Ciri-ciri utama

  • Drive AI, HPC and analytics workloads with four NVIDIA HGX H100 80GB GPUs
  • Scale compute with dual Xeon processors and 32 DDR5 memory slots
  • Store massive datasets on up to 8 NVMe SSDs totalling 122.88 TB
  • Protect data with signed firmware, secure boot and hardware root of trust
  • Manage remotely via iDRAC Direct USB and dedicated RJ45 ethernet

Spesifikasi

BrandDELL
SeriesPowerEdge XE8640
WorkloadDrive AI, HPC and analytics workloads with superior performance.
TypeRack
Rack Height4U
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 Processors2
ChipsetIntel C741
Installed Memory SizeNo
Memory TypeDDR5
Max Memory Capacity4TB
Number of Memory Slots32
Hard Drive (Installed)None
HDD InterfaceSATA/SAS
SSD (Installed)No
GPU Type4 NVIDIA HGX H100 80GB 700W SXM5 GPUs
Expansion BaysFront: STORAGE
- Up to 8 x 2.5-inch NVMe SSD drives max 122.88 TB
Other portsFront ports
- 1 x iDRAC Direct (Micro-AB USB) port
- 1 x USB 2.0
- 1 x VGA
Rear ports
- 1 x USB 2.0
- 1 x USB 3.0
- 1 x VGA
- 1 x RJ45 iDRAC9 ethernet port
Operating SystemNo
Dimensions6.86" x 18.97" x 35.48"
Weight135.36 lbs.
Berat penghantaran68.04 kg
Dimensi bungkusan1016 × 635 × 254 mm

Soalan tentang produk ini

What comes in the box and what must I buy separately?

The chassis includes four NVIDIA HGX H100 80GB 700W SXM5 GPUs installed. You must supply two Intel Xeon Scalable processors, up to 32 DDR5 RDIMMs, and up to eight 2.5-inch NVMe SSDs.

Which memory and storage configuration should I select for this 4U server?

Choose up to 32 DDR5 RDIMMs to reach the 4 TB maximum. For storage, populate up to eight 2.5-inch NVMe bays with a total capacity of 122.88 TB.

What does the 700 W per GPU rating mean once the system is running?

Each of the four H100 GPUs draws up to 700 W, so the platform must deliver 2.8 kW of GPU power plus CPU and memory overhead for AI, HPC and analytics workloads.

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