Cisco AI POD with UCS X9508 and Nvidia Integration (AIPOD-X9508-GPU)

Cisco AI POD with UCS X9508 and Nvidia Integration (AIPOD-X9508-GPU)

Brand: Cisco | Category: Servers

SKU: C-AIPOD-X9508-GPU | Part #: AIPOD-X9508-GPU | MPN: AIPOD-X9508-GPU

Contact for Pricing — Request a Quote

Request a Quote Contact Us

About the Cisco AI POD with UCS X9508 and Nvidia Integration (AIPOD-X9508-GPU)

AI model training and inference at scale demand a purpose-built, modular chassis architecture—and the Cisco AI POD with UCS X9508 and NVIDIA Integration (AIPOD-X9508-GPU) delivers exactly that. This 7-rack-unit (7RU) modular chassis houses 8 compute node slots and 2 fabric interconnect slots, enabling GPU-accelerated workloads with unified fabric connectivity spanning Ethernet and Fibre Channel. Powered by Cisco's validated AI POD reference architecture, this pre-validated platform eliminates design uncertainty and accelerates time to deployment for enterprise AI infrastructure teams.

The AIPOD-X9508-GPU integrates NVIDIA GPU accelerators via UCS X-Series GPU-capable compute nodes, supported by Cisco's unified fabric backplane and high-speed networking fabric—scaling across 25G, 40G, and 100G Ethernet configurations. Redundant, hot-swappable power supplies and N+1 fan redundancy ensure operational resilience, while Cisco Intersight—a cloud-connected, SaaS-based management platform—delivers policy-based automation, lifecycle management, telemetry, and AI Ops integration. Storage connectivity includes Fibre Channel and NVMe-oF protocols via the UCS fabric architecture, enabling flexible data pipelines for demanding workloads.

Typical AI and HPC Workloads

  • Large language model (LLM) training and fine-tuning with distributed GPU acceleration
  • Multi-modal AI inference requiring coordinated compute and accelerator resources
  • Deep learning research and model experimentation across multiple GPU nodes
  • High-performance computing clusters demanding unified fabric connectivity and persistent storage
  • AI operations monitoring and telemetry via Cisco Intersight cloud management

Contact Omnixon Global for a detailed quote on the AIPOD-X9508-GPU and receive an RFQ response within 48 hours.

Technical Specifications

BrandCisco
CategoryServers
SKUC-AIPOD-X9508-GPU
Part NumberAIPOD-X9508-GPU
ConditionNew
Form FactorRack-Mount
InterfacePCIe Gen5
Manufacturer Part NumberAIPOD-X9508-GPU
Product LineCisco UCS X-Series / Cisco AI POD
Chassis ModelCisco UCS X9508 Modular Chassis
Chassis Form Factor7-rack-unit (7RU)
Compute Node Slots8 slots (supports UCS X-Series compute nodes)
Fabric Interconnect Slots2 slots (IFM and fabric module bays)
GPU IntegrationNVIDIA GPU accelerators (via UCS X-Series GPU-capable compute nodes)
Chassis BackplaneUnified fabric backplane supporting Ethernet and Fibre Channel
Management PlatformCisco Intersight (SaaS-based, cloud-connected infrastructure management)
Management CapabilitiesPolicy-based automation, lifecycle management, telemetry, and AI Ops integration via Cisco Intersight
NetworkingHigh-speed unified fabric; supports 25G, 40G, and 100G Ethernet configurations via fabric interconnects
Storage ConnectivityFibre Channel and NVMe-oF supported via UCS fabric architecture
Power SuppliesRedundant, hot-swappable power supply units (PSU configuration depends on node population)
CoolingTool-less, hot-swappable fan modules with N+1 redundancy
Target WorkloadsLLM training and fine-tuning, multi-modal AI inference, deep learning, high-performance computing
Deployment ModelPre-validated AI POD with Cisco-published reference architecture and validated design guide

Frequently Asked Questions about Cisco AI POD with UCS X9508 and Nvidia Integration (AIPOD-X9508-GPU)

What does the Cisco AI POD with UCS X9508 and Nvidia Integration (AIPOD-X9508-GPU) do?

The Cisco AI POD with UCS X9508 and Nvidia Integration (AIPOD-X9508-GPU) is built for enterprise data-center workloads — virtualization (VMware, Proxmox, Nutanix), private cloud, database hosting, and AI/ML training. Its Rack-Mount form factor fits standard EIA-310 server racks and supports redundant PSUs and hot-swap drives common in production environments.