HPE S0K89C NVIDIA L4 24GB PCIe Accelerator for HPE

HPE S0K89C NVIDIA L4 24GB PCIe GPU Accelerator

Overview

The HPE S0K89C is an NVIDIA L4 24GB PCIe GPU accelerator designed for compute-intensive server workloads including AI inference, video transcoding, and virtual desktop infrastructure (VDI). Weighing just 0.90 lb and measuring 9.10 x 6.10 x 1.80 inches, the S0K89C fits into HPE ProLiant and other compatible rack servers without consuming excessive physical footprint — a real advantage when you're managing high-density chassis where every millimeter of clearance counts. If you're building out an HPE compute infrastructure that needs GPU acceleration without a dedicated GPU server, this card slots directly into your existing PCIe ecosystem.

Key Features

• NVIDIA L4 GPU with 24GB GDDR6 VRAM: 24GB of on-card memory handles large AI model inference batches and high-resolution video processing in a single card. Workloads that previously required model partitioning across multiple lower-memory cards can run on a single S0K89C — reducing inter-card latency and simplifying driver configuration.
• PCIe Interface: The PCIe interface means this accelerator installs into any compatible PCIe slot in supported HPE rack servers — no proprietary backplane or riser required beyond standard HPE option compatibility. Standard PCIe also means firmware and driver management stays within your existing toolchain (iLO, SPP, vendor driver packages).
• Ethernet Connectivity: The Ethernet interface enables out-of-band management and direct network-attached acceleration paths for applicable workloads, keeping GPU traffic off the primary host PCIe bus where latency matters. This is worth verifying against your specific deployment topology before provisioning.
• Compact Form Factor (9.10 x 6.10 x 1.80 in): At under 10 inches in card length and 1.80 inches in height, the S0K89C fits single-slot configurations common in 1U and 2U HPE ProLiant platforms. That physical profile matters when you're retrofitting GPU acceleration into a chassis originally provisioned without it — measure your available PCIe slot clearance before ordering.
• Low Weight (0.90 lb): Sub-one-pound card weight reduces mechanical stress on PCIe slot retention hardware, which is relevant in environments with vibration (warehouse automation, industrial edge deployments) or frequent shipping of pre-configured servers.
• HPE-Qualified Option: Offered as an HPE option part (S0K89C), this accelerator is qualified for HPE server platforms — meaning it appears in HPE's server/option compatibility matrix and is supported through HPE's standard server support channels alongside the host system. This matters if your support contracts are HPE-unified: a third-party GPU in an HPE server can complicate support ticket routing.

Integration & Compatibility

The S0K89C is positioned as an HPE-qualified add-in accelerator, meaning compatibility should be verified against HPE's server options compatibility guide for your specific ProLiant or Synergy chassis and generation. PCIe slot generation (Gen4 vs. Gen5), available power delivery from the server's PCIe slot and supplemental connectors, and chassis airflow capacity for GPU thermal load are the three variables to confirm before deployment. For AI inference pipelines, validate that your target software stack (TensorRT, ONNX Runtime, or vendor-specific inference frameworks) supports the NVIDIA L4 architecture on the target OS. NVIDIA L4 uses the Ada Lovelace architecture and is supported under CUDA 11.8 and later — confirm your inference framework's minimum CUDA version requirement. For video surveillance and video management workloads, the L4's hardware NVENC/NVDEC engines handle simultaneous encode/decode streams, reducing CPU offload requirements on the host server — useful in large-channel NVR deployments running GPU-accelerated analytics.

Frequently Asked Questions

Q: What GPU is inside the HPE S0K89C?

A: The S0K89C contains an NVIDIA L4 GPU with 24GB of GDDR6 memory, as indicated in the HPE product name. The L4 is based on NVIDIA's Ada Lovelace architecture and targets AI inference, video transcoding, and VDI workloads.

Q: What PCIe generation does the S0K89C require?

A: The evidence confirms a PCIe interface but does not specify the required PCIe generation. Verify compatibility with your specific HPE server chassis using HPE's server/option compatibility matrix before ordering.

Q: How much does the S0K89C weigh and what are its dimensions?

A: The S0K89C weighs 0.90 lb and measures 9.10 x 6.10 x 1.80 inches (L x W x H), making it a compact single-slot form factor suitable for 1U and 2U HPE server chassis.

Q: Does the S0K89C include an Ethernet port?

A: Yes, the S0K89C lists Ethernet as one of its interfaces alongside PCIe. This enables network-attached management or direct network acceleration paths depending on the deployment configuration.

Q: Is the S0K89C compatible with non-HPE servers?

A: The S0K89C is an HPE-qualified option part, designed and validated for HPE server platforms. While the PCIe interface is standard, HPE option parts are tested and supported specifically within HPE's server ecosystem. Compatibility with third-party servers is not confirmed by available evidence.

Q: What workloads is the S0K89C best suited for?

A: Based on the NVIDIA L4 GPU it contains, the S0K89C is well-matched to AI inference, video transcoding, virtual desktop infrastructure (VDI), and GPU-accelerated analytics. The 24GB GDDR6 memory supports large model inference without partitioning across multiple cards.

Karl Wilson

The HPE S0K89C is one of those parts that sits at the intersection of server infrastructure and AI/ML workload expansion — it drops an NVIDIA L4 with 24GB GDDR6 into an HPE-qualified PCIe card that weighs under a pound. Where I see this deployed most effectively is in existing HPE ProLiant environments where the server has spare PCIe slots and the team needs GPU acceleration without provisioning a dedicated GPU node.

Technical Highlights:

• 24GB GDDR6 VRAM: Large enough to run mid-to-large inference models in a single card without model sharding — eliminates the NVLink/NVSwitch complexity that comes with multi-GPU inference setups on smaller-memory cards.
• PCIe + Ethernet dual interface: PCIe handles the primary host-to-GPU workload path; the Ethernet interface opens the door to network-direct acceleration use cases and out-of-band management depending on the firmware and platform configuration.
• Compact 9.10 x 6.10 x 1.80 in profile: Fits the physical envelope of single-slot PCIe options in 1U/2U HPE chassis — the form factor is the deciding spec if you're retrofitting into an already-dense rack without adding a new server.

Deployment Considerations:

• Confirm PCIe slot power budget on your specific HPE server before installing — the L4 GPU has a rated TDP that must be within what the server's PCIe slot and supplemental connectors can deliver; HPE's QuickSpecs for your chassis model is the right reference.
• The S0K89C is an HPE option part number — if you're purchasing for a non-HPE server, there is no evidence this SKU has been validated outside HPE platforms, and support ticket routing may become complicated if the host server is a different vendor.

For teams running large-channel GPU-accelerated video analytics or building out an AI inference tier inside an existing HPE ProLiant estate, the S0K89C is the right path to add L4 compute without a separate GPU server purchase.