Dell Technologies vs Cisco for NVIDIA AI servers.
Side by side from our vendor index: what each firm actually designs, which NVIDIA platforms it ships, and the identity facts that shape a procurement decision. Sources and full detail live on each profile.
Dell Technologies
The largest enterprise channel for NVIDIA compute. Dell engineers the PowerEdge XE series and IR7000 rack infrastructure itself, and wraps it in the supply chain, services and financing a regulated enterprise expects. Lead times track demand from its largest AI customers.
- Integrated Rack 7000 (IR7000): own 21-inch ORv3-based rack platform purpose-built for liquid cooling, up to 480kW per rack, near 100% heat capture
- Own direct-to-chip liquid cooling design with cold plates, integrated busbars and DLC manifolds built into the IR7000
- iDRAC: in-house embedded management controller with silicon root of trust; factory OpenBMC option
- Custom 1RU compute sleds engineered for the XE9712 GB200 NVL72 rack-scale system
Cisco
Cisco designs UCS AI servers with its own boards and management plane, and sells them as part of a networking-led stack. The rational choice when the cluster fabric, security posture and support contract already run through Cisco.
- UCS C-Series dense GPU servers (C885A M8, C880A M8) built on NVIDIA HGX reference architecture with Cisco-designed board and NIC integration and Cisco BMC
- UCS X-Series: own modular blade chassis architecture (X9508, X440p PCIe GPU node, X-Fabric)
- Cisco Intersight: own cloud-based lifecycle management across UCS
- Networking-first engineering base: Silicon One ASICs, Nexus switching and N9100 Spectrum-X switches anchor its AI play
The right vendor depends on the workload, the facility and the timeline, not the brand. The assessment sizes both against your requirements and returns quoted pricing, with our margin disclosed.
Request an assessment