训练时间的算账:为什么 8-GPU 节点赢在墙钟
LLM 训练的成本可以简化成一道题:同样 1,000 GPU 小时的工作量,用 4 台双卡服务器跑和用 1 台 8 卡服务器跑,墙钟时间差多少?答案不止 4 倍——因为 GPU 间通信是训练的关键路径。PowerEdge XE9680 的 8 颗 GPU 通过 NVLink(NVIDIA)或 Infinity Fabric(AMD)全互联,模型并行(TP/PP)的通信延迟比跨节点走网络低一个数量级。8 卡节点内部通信,4 台双卡节点要跨 100GbE/IB 网络跑同样数据——墙钟时间、能耗、网络带宽全部翻倍。
这就是 XE9680 存在的理由:Dell 首款 8 路 GPU 服务器,专为生成式 AI、ML/DL 训练和 HPC 打造,支持大语言模型、推荐引擎、分子动力学和基因组测序。
Core Specifications
| Attribute | Specification |
|---|---|
| Form factor | 6U rack server |
| Processor | 2 x 5th Gen Intel Xeon Scalable (64 cores) or 2 x 4th Gen (56 cores) |
| Memory | 32 x DDR5 RDIMM slots, up to 4 TB, 5600 MT/s (5th Gen) / 4800 MT/s (4th Gen) |
| GPU options | 8 x H100 80GB 700W / 8 x H200 141GB 700W / 8 x H20 96GB 500W (all NVLink), 8 x MI300X 192GB 750W (Infinity Fabric), 8 x Gaudi 3 128GB 900W (RoCE) |
| Shared GPU memory | Up to 1.5 TB coherent (MI300X config) |
| Drive bays | Up to 8 x 2.5-inch NVMe/SAS/SATA (122.88 TB) or 16 x E3.S NVMe |
| Boot | BOSS-N1: HW RAID 1, 2 x M.2 NVMe |
| PCIe | Up to 10 x Gen5 x16 slots (8 with Gaudi 3) |
| Network | 2 x 1GbE embedded + 1 x OCP 3.0 (x8); 6 x 800GbE OSFP with Gaudi 3 |
| PSU | 3200W Titanium (277VAC/260-400VDC) or 2800W Titanium, hot-swap redundant |
| Management | iDRAC9, iDRAC Direct, Redfish RESTful API, OpenManage Enterprise |
| Dimensions / weight | 263.2 x 482 x 1008.77 mm (with bezel); up to 114.05 kg |
The GPU Choice: Five Accelerators, One Chassis
The XE9680 is unusual in accepting every major accelerator generation:
| Accelerator | Memory | Power | Fabric |
|---|---|---|---|
| NVIDIA H100 SXM5 | 80 GB | 700 W | NVLink |
| NVIDIA H200 SXM5 | 141 GB | 700 W | NVLink |
| NVIDIA H20 SXM5 | 96 GB | 500 W | NVLink |
| AMD MI300X OAM | 192 GB | 750 W | Infinity Fabric |
| Intel Gaudi 3 OAM | 128 GB | 900 W | Ethernet RoCE (embedded 800GbE) |
One chassis, five GPU generations – the platform choice follows the model and the supply line, not a lock-in.

Storage and Expansion for Training Data
Up to 8 x 2.5-inch NVMe/SAS/SATA drives (122.88 TB) or 16 x E3.S NVMe drives feed the training pipeline without a separate storage hop; BOSS-N1 handles boot duty in hardware RAID 1. Ten front-facing PCIe Gen5 x16 slots take HBAs, high-speed NICs or NVMe-of-F targets, and the OCP 3.0 slot (x8) adds a 100/400GbE card for multi-node scaling. PERC H965i covers SAS RAID (not supported with Gaudi 3).
Security & Management
Security. Silicon root of trust, Secure Boot, cryptographically signed firmware, Secured Component Verification, Secure Erase, System Lockdown (iDRAC9 Enterprise/Datacenter), Data at Rest Encryption via SEDs, and TPM 2.0 (FIPS/CC-TCG certified, China variant).
Management. iDRAC9 with dedicated port, HTML5 virtual console, virtual media and Redfish; OpenManage Enterprise with Power Manager, Service and Update plugins, plus integrations for Ansible, Terraform, ServiceNow and BMC TrueSight – the same fleet plane as every other PowerEdge.
Power, Cooling & Physical
- PSU: 3200W Titanium (277 VAC or 260-400 VDC, US/Canada) or 2800W Titanium (200-240 VAC / 240 VDC), hot-swap redundant.
- Cooling: Air-cooled with up to 6 HPR Gold fans in the mid tray + up to 10 on the rear (12 with Gaudi 3) – designed for 700-900W accelerators.
- Physical: 263.2 x 482 x 1008.77 mm (with bezel), up to 114.05 kg – plan floor load and rail ratings.
OS & Software
Canonical Ubuntu Server LTS, Red Hat Enterprise Linux, SUSE Linux Enterprise Server and VMware ESXi; Dell Validated Designs for Generative AI cover the reference workflows end to end.
Buying FAQ
- Which GPU? H200 (141GB) for the largest models; H100/H20 for cost tiers; MI300X for AMD estates; Gaudi 3 for Ethernet-only fabrics.
- Training or inference? Built for training/HPC; inference workloads may scale better on L40S-class nodes – see our L40S.
- Multi-node? 100/400GbE via OCP 3.0; Gaudi 3 builds embed 6 x 800GbE OSFP.
- Weight? Up to 114.05 kg fully loaded – rack planning required.
- Remote management? iDRAC9 + OpenManage, identical to the rest of the fleet.
Scaling your AI estate? The XE9680 anchors the training tier; xFusion 5885H V7 covers 4-socket compute. As an authorized Dell partner we offer factory-direct pricing, custom configuration, 3-year warranty and global shipping – contact us for an AI infrastructure quote.

Note: GPU availability and lead times vary by region and accelerator – confirm current allocation with our team before planning the build.
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