HPE S5T74C NVIDIA RTX A1000 8GB PCIE Accelerator

HPE S5T74C NVIDIA RTX A1000 8GB PCIe Accelerator

The HPE S5T74C is an NVIDIA RTX A1000 8GB PCIe graphics accelerator provisioned for HPE server platforms. It connects via PCIe and Ethernet interfaces, making it suitable for workloads that need both local GPU compute and network-accessible acceleration — including AI inference, video analytics offload, and visualization tasks in rack-mounted environments. At 2.87 lb, it fits within standard HPE server chassis weight budgets without specialized mounting hardware.

Key Features

• PCIe and Ethernet Interfaces: Dual connectivity means the S5T74C can serve GPU compute locally over PCIe to the host server while remaining addressable over the network — useful in deployments where the accelerator needs to be managed or queried independently of the host OS path.
• 8GB Dedicated GPU Memory: 8GB of onboard memory keeps moderately large inference models resident without constant host-memory swapping — relevant for running multiple simultaneous AI analytics streams or computer vision workloads alongside other server tasks.
• HPE Ecosystem Integration: Provisioned as an HPE option part, the S5T74C is validated for HPE server platforms, reducing firmware compatibility risk compared to retail GPU cards installed in enterprise servers without OEM validation.
• 2.87 lb Form Factor: Standard add-in card weight profile integrates into populated HPE server chassis without exceeding typical PCIe slot mechanical tolerances — no additional bracket or support hardware required in most configurations.

Integration and Compatibility

The S5T74C is designed for installation in compatible HPE server platforms that provide a PCIe slot of sufficient lane width and bandwidth for discrete GPU operation. Verify slot availability, power delivery, and chassis airflow before ordering — GPU accelerators in dense rack configurations may require thermal planning. For deployments pairing this accelerator with network video recorders or IP camera analytics pipelines, confirm that the VMS or analytics platform supports the RTX A1000 driver stack on your chosen OS. The Ethernet interface broadens integration options for compute-intensive security and AI workloads where the GPU is addressed remotely. Consult your HPE GPU accelerator compatibility matrix for specific server model validation before purchasing.

Frequently Asked Questions

Q: What interfaces does the HPE S5T74C use?

A: The S5T74C connects via PCIe (host server slot) and Ethernet, supporting both local and network-accessible GPU compute configurations.

Q: How much does the S5T74C weigh?

A: The S5T74C weighs 2.87 lb, consistent with a standard PCIe add-in card form factor.

Q: Is the S5T74C validated for HPE servers?

A: Yes — the S5T74C is an HPE-provisioned option part, meaning it is validated for compatible HPE server platforms rather than being a retail GPU card adapted for enterprise use.

Q: What workloads is the RTX A1000 8GB suited for in an HPE server context?

A: The 8GB GPU memory supports AI inference, video analytics offload, visualization, and similar compute-intensive workloads. Specific workload performance depends on the host server platform and software stack deployed.

Q: Do I need additional power connectors for the S5T74C?

A: Power delivery specifics are not confirmed in available evidence. Verify power connector requirements and PCIe slot power capacity against your HPE server model's technical documentation before installation.

James Everett

The HPE S5T74C brings the NVIDIA RTX A1000 with 8GB of dedicated GPU memory into the HPE server ecosystem as a validated option part — the PCIe-plus-Ethernet dual-interface design is the detail I'd flag first for architects planning AI inference or video analytics infrastructure where GPU resources need to be reachable both locally and over the network.

Technical Highlights:

• PCIe + Ethernet Dual Interface: Unlike single-interface GPU cards, the Ethernet path means this accelerator can participate in network-managed compute pools — relevant for multi-node inference or remote GPU management scenarios without relying solely on the PCIe host path.
• 8GB GPU Memory: Enough headroom to hold moderately complex inference models resident — avoids constant model swapping when running concurrent analytics streams, which is a real bottleneck in always-on video analytics deployments.
• HPE-Provisioned Validation: Sourced as an HPE option part (not a retail card), the S5T74C carries HPE's server compatibility validation — reduces the firmware and driver qualification work that typically falls on the integrator when pairing aftermarket GPUs with enterprise server platforms.

Deployment Considerations:

• Confirm PCIe slot lane width, power delivery capacity, and chassis airflow in your specific HPE server before ordering — GPU accelerators in high-density rack builds can create thermal and power budget constraints that aren't obvious until installation.
• Available evidence does not confirm TDP or auxiliary power connector requirements for the S5T74C — pull the HPE QuickSpecs for your target server model to verify before committing to a configuration.

The S5T74C is the right call for HPE server deployments adding AI inference or video analytics offload capability where validated compatibility with the host platform matters more than chasing the highest-end GPU spec — a rack-mounted security operations center or edge AI inference node being the clearest fit.