HPE S0K90C NVIDIA L40 48GB PCIE Accelerator

HPE S0K90C NVIDIA L40 48GB PCIe GPU Accelerator

Overview

The HPE S0K90C is an NVIDIA L40 48GB PCIe GPU accelerator designed for compute-intensive server workloads including AI inference, visualization, and parallel compute tasks. Carrying the L40 designation, this card pairs 48GB of onboard memory with a PCIe host interface — making it a drop-in option for HPE ProLiant and compatible rack servers already populated in your data center. If you're evaluating GPU accelerators for inference pipelines, rendering farms, or AI-at-the-edge deployments at the rack level, the S0K90C is worth placing alongside other L40-class options in your shortlist.

Key Features

• 48GB GPU Memory: The L40's 48GB frame buffer handles large model inference batches and high-resolution visualization workloads without host memory offloading — relevant when running multiple concurrent inference streams on a single card.
• PCIe Interface: Slots directly into standard PCIe lanes on HPE ProLiant and compatible server platforms, eliminating the need for proprietary interconnect infrastructure. No NVLink fabric required for single-card deployments.
• Dual Interface (PCIe + Ethernet): The S0K90C exposes both PCIe and Ethernet interfaces per the product specification, enabling flexible connectivity options for network-attached compute configurations.
• Factory-New, Genuine: Sourced through HPE's commercial channel — factory-new, no grey-market, no parallel imports. Weight of 1.70 lb confirms the full card assembly.

Integration & Compatibility

The S0K90C is an HPE-branded PCIe accelerator and is intended for use within HPE server ecosystems. Verify slot and power delivery compatibility against your specific ProLiant or Apollo server model before ordering — L40-class cards have defined power envelopes and physical slot requirements that must be confirmed against your chassis configuration. NVIDIA software stack, CUDA, and framework compatibility follow standard L40 driver support on supported operating systems.

Frequently Asked Questions

Q: What interface does the HPE S0K90C use?

A: The S0K90C uses PCIe and Ethernet interfaces as specified in the product data.

Q: How much GPU memory does the S0K90C have?

A: The S0K90C is an NVIDIA L40 48GB PCIe accelerator carrying 48GB of onboard GPU memory.

Q: What does the S0K90C weigh?

A: The S0K90C weighs 1.70 lb per the product specification.

Q: Is the S0K90C compatible with all PCIe servers?

A: The S0K90C is an HPE-branded accelerator. Compatibility should be verified against your specific HPE server model for slot type, lane count, and power delivery before ordering.

Eden Phillips

The HPE S0K90C brings the NVIDIA L40 48GB into HPE's commercial server channel as a PCIe-native accelerator — the right framing here is single-card inference density, not multi-GPU training clusters. If you're provisioning AI inference capacity in existing HPE ProLiant racks, the S0K90C slots in without requiring fabric upgrades.

Technical Highlights:

• 48GB Onboard Memory: Large enough to host substantial inference models entirely on-card, avoiding the latency and bandwidth penalty of host memory paging during high-throughput inference runs.
• PCIe + Ethernet: Dual-interface spec means this card can participate in both direct-attach server compute and network-accessible compute configurations — useful in disaggregated infrastructure designs.
• 1.70 lb Form Factor: Full card assembly weight confirmed at 1.70 lb — consistent with a full-height, full-length PCIe card; plan chassis clearance and airflow accordingly in dense 1U/2U configurations.

Deployment Considerations:

• Verify HPE server compatibility by model number before ordering — not all ProLiant generations support L40-class power envelopes in every slot position.
• Available spec data for the S0K90C is limited to interface type and weight; confirm TDP, cooling requirements, and driver support against NVIDIA's L40 datasheet and HPE's QuickSpecs for your target server model.

Best fit: HPE-standardized data centers adding AI inference capacity to existing ProLiant infrastructure where PCIe-native deployment is preferred over proprietary GPU fabric.