DELL
DELL PowerEdge XE8640 4U rack server 4 NVIDIA HGX H100 80GB GPUs
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.
Highlights
- 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
Specifications
| Brand | DELL |
|---|---|
| Series | PowerEdge XE8640 |
| Workload | Drive AI, HPC and analytics workloads with superior performance. |
| Type | Rack |
| Rack Height | 4U |
| Security | Cryptographically 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 Type | Intel Xeon Scalable |
| # of Processors Installed | 0 |
| MAX Processors | 2 |
| Chipset | Intel C741 |
| Installed Memory Size | No |
| Memory Type | DDR5 |
| Max Memory Capacity | 4TB |
| Number of Memory Slots | 32 |
| Hard Drive (Installed) | None |
| HDD Interface | SATA/SAS |
| SSD (Installed) | No |
| GPU Type | 4 NVIDIA HGX H100 80GB 700W SXM5 GPUs |
| Expansion Bays | Front: STORAGE - Up to 8 x 2.5-inch NVMe SSD drives max 122.88 TB |
| Other ports | Front 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 System | No |
| Dimensions | 6.86" x 18.97" x 35.48" |
| Weight | 135.36 lbs. |
| Shipping weight | 68.04 kg |
| Package size | 1016 × 635 × 254 mm |
Questions about this item
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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