Lenovo 4X67A14926 Tesla T4 16GB PCIE PAS

Lenovo 4X67A14926 Tesla T4 16GB PCIe GPU Accelerator

Overview

The Lenovo 4X67A14926 is a passively cooled NVIDIA Tesla T4 GPU accelerator carrying 16GB of GDDR5X memory across a 160-bit bus — purpose-built for AI inference, machine learning, and compute-intensive workloads in rack-mounted server environments. At 1.55 lb and a low-profile PCIe form factor, it slots cleanly into dense compute nodes where active cooling fans are either unavailable or undesirable. If you're provisioning GPU capacity inside a Lenovo ThinkSystem chassis or evaluating T4-class inference density, this is the option sourced through Lenovo's standard distribution channel.

Key Features

• 16GB GDDR5X Frame Buffer: 16 gigabytes of on-card memory means large inference models, batch workloads, and multi-stream video analytic pipelines can load their full working sets without spilling to system RAM — a direct factor in sustainable throughput on production inference nodes.
• 200 GB/s Memory Bandwidth: The 160-bit memory bus delivers up to 200 GB/s of bandwidth, keeping the GPU fed during bandwidth-hungry tasks like tensor operations and large-batch inferencing. Bandwidth starvation is a common bottleneck in inference deployments; 200 GB/s provides meaningful headroom versus narrower consumer-grade cards.
• PCI Express 3.0 Interface: PCIe 3.0 connectivity integrates with any current-generation Lenovo server platform supporting PCIe x16 slots, with backward compatibility to PCIe 2.0 hosts. No proprietary riser or adapter required for standard ThinkSystem slot configurations.
• Passive Cooling Design: The Tesla T4 uses a passive thermal solution — no onboard fan, no additional fan noise, no moving parts to service. This is a practical requirement in high-density blade and rack configurations where system airflow is managed at the chassis level. Confirm your chassis provides adequate airflow for passive GPU thermals before deploying.
• Dual Interface Support (PCIe + Ethernet): The card exposes both PCIe and Ethernet connectivity, providing flexibility for deployment architectures that route inference requests via network rather than direct PCIe interconnect — relevant for distributed inference clusters or disaggregated compute topologies.
• NVIDIA Tesla T4 GPU Core: The T4 is based on NVIDIA's Turing architecture, which introduced dedicated Tensor Cores for mixed-precision (INT8/FP16) inference acceleration. This translates to substantially higher inference throughput per watt compared to Pascal-generation alternatives when running quantized models.
• Compact Physical Footprint: At 10.30 × 6.20 × 3.20 in and 1.55 lb, the 4X67A14926 occupies a single-slot PCIe footprint. Rack planners can factor this directly into density calculations — multiple cards per 2U node depending on the server platform's PCIe slot count and power allocation.

Integration and Compatibility

The 4X67A14926 is a Lenovo-branded Tesla T4 option designed for integration into Lenovo ThinkSystem server platforms that support PCIe 3.0 x16 GPU expansion. The PCIe 3.0 interface ensures compatibility with a broad range of current rack servers. Passive cooling means the chassis must provide sufficient forced airflow across the card — verify your server's GPU thermal configuration in the Lenovo ServerProven or product guide before ordering. The Ethernet interface enables network-attached inference workflows in addition to direct PCIe-attached compute. Consult your server's maximum GPU power envelope and physical slot clearance to confirm this card fits your specific node configuration.

Frequently Asked Questions

Q: What is the memory configuration on the Lenovo 4X67A14926?

A: The 4X67A14926 carries 16GB of GDDR5X memory on a 160-bit memory bus, delivering up to 200 GB/s of memory bandwidth.

Q: Does the Tesla T4 in the 4X67A14926 require active cooling?

A: No. The T4 uses a passive cooling design with no onboard fan. The server chassis must supply adequate forced airflow across the card — verify thermal requirements with Lenovo's server configuration guide for your specific chassis.

Q: What PCIe generation does the 4X67A14926 support?

A: The card uses PCI Express 3.0 and is backward compatible with PCIe 2.0 slots. It is designed for x16 PCIe expansion slots in compatible Lenovo ThinkSystem servers.

Q: What does the Ethernet interface on the 4X67A14926 enable?

A: In addition to PCIe connectivity, the card exposes an Ethernet interface, allowing it to participate in network-attached compute or inference cluster architectures where workloads are routed over the network rather than through direct PCIe interconnect.

Q: How much does the 4X67A14926 weigh, and what are its physical dimensions?

A: The card weighs 1.55 lb and measures 10.30 × 6.20 × 3.20 inches (L × W × H), occupying a standard single-slot PCIe form factor suitable for dense rack deployments.

Jerry Tildsen

The 4X67A14926 is one of those cards that earns its place in a rack not through headline clock speeds but through the combination of 16GB GDDR5X at 200 GB/s bandwidth and a passive thermal envelope — factors that matter once you're filling a chassis with multiple inference cards and managing thermals at the system level rather than the card level.

Technical Highlights:

• 16GB GDDR5X / 200 GB/s Bandwidth: Large inference models that exceed 8–10GB of working memory need a card with this buffer headroom — anything less and you're either batching smaller than optimal or offloading to system memory, which collapses throughput.
• Passive Cooling: No moving parts on the card itself means no fan-failure failure mode and no added acoustic load. In a properly configured ThinkSystem chassis with managed airflow, the T4's passive design is a reliability asset, not a compromise.
• PCIe 3.0 + Ethernet Dual Interface: The Ethernet path on this card opens up use cases where the GPU serves as a network-accessible inference endpoint rather than a host-attached accelerator — useful in disaggregated AI inference architectures.

Deployment Considerations:

• Passive cooling is non-negotiable about chassis airflow — confirm your specific Lenovo ThinkSystem node's GPU thermal documentation before installing. Inadequate airflow will throttle or fault the card regardless of PCIe configuration.
• At 10.30 × 6.20 × 3.20 in, verify physical clearance in your chassis. Some dense 1U configurations may not accommodate full-length GPU cards without a riser kit.

The 4X67A14926 is well positioned for Lenovo ThinkSystem-based AI inference nodes, multi-stream video analytics servers, and dense rack deployments where passive thermals and 16GB of GDDR5X capacity are the deciding requirements.