Dell PowerEdge XE9685 8-GPU Server Configured with MI300X 192GB (8× GPU)
Brand: Dell | Category: GPUs
SKU: XE9685-MI300X-8GPU | Part #: XE9685-MI300X-8GPU | MPN: XE9685-MI300X-8GPU
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About the Dell PowerEdge XE9685 8-GPU Server Configured with MI300X 192GB (8× GPU)
The Dell PowerEdge XE9685 delivers 1,536 GB of HBM3 memory across eight AMD Instinct MI300X GPUs, each provisioned with 192 GB of high-bandwidth memory for demanding AI, machine learning, and scientific computing workloads. This 10U rack server combines Dell's enterprise-grade architecture with AMD's latest accelerator technology, offering FP8, FP16, BF16, FP32, and FP64 compute precision to support mixed-precision applications at scale. The eight MI300X GPUs interconnect via AMD Infinity Fabric for cohesive multi-GPU performance, while the underlying AMD EPYC multi-socket processor architecture ensures balanced compute throughput and system efficiency in standard 19-inch datacenter racks.
AI infrastructure teams benefit from Dell's integrated management suite—iDRAC9 with Lifecycle Controller and Dell OpenManage—for simplified provisioning and monitoring across your fleet. The chassis is purpose-built for high-density GPU thermal management, paired with redundant hot-swap power supplies and multiple storage options via front-accessible NVMe SSD bays. DDR5 RDIMM and LRDIMM support alongside high-speed Ethernet and InfiniBand connectivity (PCIe-attached) ensures seamless integration into existing enterprise networks. The Dell PowerEdge XE9685 (part number XE9685-MI300X-8GPU) runs Red Hat Enterprise Linux, Ubuntu, and SUSE Linux Enterprise Server, while AMD ROCm provides the open-source software platform for rapid model deployment and optimization.
Typical Enterprise Deployment Scenarios
- Large-scale generative AI model training and fine-tuning with massive parameter counts requiring 1.5+ TB aggregate GPU memory
- High-performance computing and scientific simulations demanding mixed-precision calculations across eight coordinated accelerators
- Real-time inference clusters for language models and computer vision pipelines in production environments
- Financial modeling and quantitative research requiring sustained FP32 and FP64 compute density in compact rack form factors
- Multi-tenant GPU virtualization and containerized workload orchestration leveraging AMD ROCm containerization
Contact Omnixon Global to request an RFQ for the Dell PowerEdge XE9685 8-GPU Server Configured with MI300X 192GB (XE9685-MI300X-8GPU).
Technical Specifications
| Brand | Dell |
| Category | GPUs |
| SKU | XE9685-MI300X-8GPU |
| Part Number | XE9685-MI300X-8GPU |
| Condition | New |
| Manufacturer Part Number | XE9685-MI300X-8GPU |
| Product Line | Dell PowerEdge XE9685 |
| Form Factor | 10U Rack Server |
| GPU Model | AMD Instinct MI300X |
| Number of GPUs | 8 |
| GPU Memory per GPU | 192 GB HBM3 |
| Total GPU Memory | 1,536 GB (1.536 TB) HBM3 |
| GPU Interconnect | AMD Infinity Fabric (GPU-to-GPU) |
| GPU Compute Precision | FP8, FP16, BF16, FP32, FP64 |
| GPU Software Platform | AMD ROCm (open-source) |
| Processor Support | AMD EPYC (multi-socket) |
| Memory Type | DDR5 RDIMM / LRDIMM |
| Storage Interface | NVMe SSD (front-accessible bays) |
| Network Connectivity | High-speed Ethernet and/or InfiniBand (PCIe-attached NIC/HCA) |
| Management | iDRAC9 with Lifecycle Controller, Dell OpenManage |
| Operating System Support | Red Hat Enterprise Linux, Ubuntu, SUSE Linux Enterprise Server |
| Chassis | 10U, optimized for high-density GPU thermal management |
| Power Supply | High-efficiency redundant PSUs (hot-swap) |
| Rack Compatibility | Standard 19-inch datacenter rack |
Frequently Asked Questions about Dell PowerEdge XE9685 8-GPU Server Configured with MI300X 192GB (8× GPU)
What server platforms accept the Dell PowerEdge XE9685 8-GPU Server Configured with MI300X 192GB (8× GPU)?
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
How long is the lead time on AI GPUs?
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Can you help with NVIDIA AI Enterprise licensing?
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.