Brand: Lenovo | Category: GPUs
SKU: 7DHF CT01WW | Part #: 7DHF CT01WW | MPN: 7DHF CT01WW
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The Lenovo ThinkSystem SR680a V3 AI GPU Server (part number 7DHF CT01WW) delivers exceptional compute density for organizations deploying large-scale AI workloads. This 4U rack-mountable system supports up to 8x NVIDIA HGX H100 SXM5 80GB GPUs with NVLink 4.0 and NVSwitch interconnect, enabling seamless multi-GPU communication for distributed training and inference at scale. Paired with dual 4th Generation Intel Xeon Scalable processors across 2 sockets, 32 DDR5 DIMM slots, and PCIe Gen 5 connectivity, the SR680a V3 provides the bandwidth and memory architecture required for generative AI, deep learning, and high-performance computing environments.
Lenovo's enterprise-grade design ensures operational reliability through redundant hot-swap power supplies, redundant hot-swap cooling fans, and OCP 3.0 slot support for high-speed Ethernet and InfiniBand adapters. The system includes up to 8x 2.5-inch NVMe/SAS/SATA drive bays for flexible storage configuration, integrated Lenovo XClarity Controller (XCC2) for lights-out management, and comprehensive security features including Secure Boot, TPM 2.0, and firmware integrity validation. An AI infrastructure team evaluating next-generation GPU servers will find the SR680a V3 compatible with Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu Server LTS, and VMware vSphere. Lenovo XClarity Administrator integration streamlines deployment and lifecycle management across large server estates.
Contact Omnixon Global today to request a quotation for the ThinkSystem SR680a V3 AI GPU Server (7DHF CT01WW) and discuss integration into your enterprise infrastructure.
| Brand | Lenovo |
| Category | GPUs |
| SKU | 7DHF CT01WW |
| Part Number | 7DHF CT01WW |
| Condition | New |
| Manufacturer Part Number | 7DHF CT01WW |
| Product Line | ThinkSystem |
| Form Factor | 4U Rack Server |
| Processors Supported | Dual 4th Generation Intel Xeon Scalable processors |
| Processor Sockets | 2 |
| GPU Configuration | Up to 8x NVIDIA HGX H100 SXM5 80GB GPUs |
| GPU Interconnect | NVLink and NVSwitch (NVLink 4.0) |
| Memory Type | DDR5 |
| Memory Slots | 32 DIMM slots |
| PCIe Generation | PCIe Gen 5 |
| Storage Bays | Up to 8x 2.5-inch NVMe/SAS/SATA drive bays |
| Network Interface | OCP 3.0 slot supporting high-speed Ethernet and InfiniBand adapters |
| Power Supply | Redundant hot-swap high-efficiency power supplies |
| Management | Lenovo XClarity Controller (XCC2); Lenovo XClarity Administrator compatible |
| Cooling | Forced-air cooling with redundant hot-swap fans |
| Operating System Support | Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu Server LTS, VMware vSphere |
| Chassis Width | Standard 19-inch rack-mountable |
| Target Workloads | AI training, AI inference, HPC, deep learning, generative AI |
| Security Features | Secure Boot, TPM 2.0 support, firmware integrity validation |
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.
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.
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.
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.