Lenovo 4X67A13124 TESLA V100S 32GB PCIE PAS

Lenovo 4X67A13124 Tesla V100S 32GB PCIe GPU Accelerator

Overview

The Lenovo 4X67A13124 is a professional-grade PCIe GPU accelerator built around the NVIDIA Tesla V100S architecture with 32GB of onboard memory — purpose-engineered for data center AI inference, deep learning training, and high-performance compute workloads. If you are specifying a GPU for a Lenovo ThinkSystem server that needs to handle demanding parallel compute tasks, this card is worth a direct look. The 4X67A13124 ships as a factory-new, genuine Lenovo component, sourced through the standard distribution channel with no grey-market exposure.

Weighing in at 10 lb, this is a full-size, double-wide card — plan your chassis selection and airflow accordingly. The PCIe interface ensures compatibility with standard server slots, while the Ethernet interface supports out-of-band management and NVLink fabric configurations depending on your platform.

Key Features

• PCIe Interface: Slots into standard PCIe server slots found in Lenovo ThinkSystem platforms, avoiding proprietary bus constraints and simplifying chassis selection for mixed-vendor racks.
• Ethernet Connectivity: The onboard Ethernet interface supports management-plane access and fabric integration, reducing the dependency on separate HBA or management cards in dense compute nodes.
• 10 lb Form Factor: At 10 lb, this is a full-weight, enterprise-class card. Verify your chassis weight limits and rail load ratings before installing — particularly relevant in blade or dense 2U configurations.
• 32GB High-Bandwidth Memory: The V100S 32GB memory complement is the deciding factor for large-model training runs and datasets that outgrow the 16GB variant — fewer memory-overflow interruptions means longer unattended training cycles.

Integration and Compatibility

The 4X67A13124 is designed for integration into Lenovo ThinkSystem server platforms that support full-length, double-wide PCIe accelerators. Confirm your target server's GPU slot count, PCIe generation, and power delivery specification (auxiliary power connectors) against the Lenovo ServerProven compatibility matrix before ordering. UNSPSC code 43201401 classifies this as a computer processor — relevant for procurement taxonomy and PunchOut catalog alignment.

Frequently Asked Questions

Q: What interface does the Lenovo 4X67A13124 use?

A: The 4X67A13124 uses a PCIe interface for the primary data path and includes an Ethernet interface for management or fabric connectivity.

Q: How much does the 4X67A13124 weigh?

A: The unit weighs 10 lb. Account for this in chassis weight planning, especially in high-density rack deployments.

Q: What server platforms is the 4X67A13124 compatible with?

A: The 4X67A13124 is a Lenovo-branded component intended for Lenovo ThinkSystem servers that support full-length PCIe GPU accelerators. Verify compatibility against the Lenovo ServerProven list for your specific server model before ordering.

Q: What is the UNSPSC code for the 4X67A13124?

A: The UNSPSC code is 43201401, classifying it as a computer processor — useful for procurement systems and catalog taxonomy alignment.

Eden Phillips

The 4X67A13124 comes in at 10 lb — that is the first number I check when a customer asks about adding a V100S to an existing ThinkSystem chassis. A card this heavy in a 2U node changes your rail load math and your airflow design simultaneously, and that is before you account for the auxiliary power draw of a full V100S. Get the chassis audit done before the card ships.

Technical Highlights:

• PCIe Interface: Standard PCIe slot compatibility means this card fits the broad Lenovo ThinkSystem server lineup without requiring a proprietary backplane — a practical advantage when you are expanding an existing rack rather than building greenfield.
• Ethernet Interface: Onboard Ethernet supports out-of-band management paths, which matters in high-availability compute clusters where you need to monitor GPU health independent of the primary data network.
• 32GB V100S Memory: The 32GB complement is the key differentiator over the 16GB V100 variant — large transformer models and multi-tenant inference workloads that choke on 16GB run cleanly here without checkpoint-to-host spill.

Deployment Considerations:

• Verify your target ThinkSystem server against the Lenovo ServerProven GPU compatibility matrix — not every PCIe slot in every chassis supports the full power envelope of a V100S card, and an unsupported pairing will throttle performance or fail POST.
• At 10 lb, this card is at the upper end of what a single-person installation can safely handle in a narrow rack bay — two-person installation is the right call to avoid torquing the PCIe slot during seating.

This card is the right specification for Lenovo ThinkSystem-based HPC or AI inference nodes where 32GB of GPU memory is a hard requirement and PCIe fabric compatibility with existing infrastructure is non-negotiable.