Lenovo 4X67A84824 L4 24GB PCIE GEN4 PAS

Lenovo 4X67A84824 NVIDIA L4 24GB PCIe Gen4 Passive GPU

Overview

The Lenovo 4X67A84824 is a single-slot, low-profile add-in card built around NVIDIA's L4 GPU, carrying 24 GB of GDDR6 memory across a PCIe Gen4 x16 interface. At 72 W TDP with fully passive cooling, it is engineered for dense rack deployments where active cooling headroom is limited — think blade chassis inserts, 1U servers, or edge inference nodes where a spinning fan is an unacceptable noise or failure-rate variable. The form factor is 169 mm long, single-slot, low-profile bracket, so it fits server configurations that a full-height dual-slot card simply cannot.

Key Features

• 24 GB GDDR6 at 300 GB/s Memory Bandwidth: The L4's 24 GB pool lets you keep large AI inference models — or multiple concurrent models — resident in GPU memory without constantly re-loading weights from system RAM. The 300 GB/s bandwidth ensures data throughput keeps pace with the GPU's compute pipeline, which matters when batch-processing video analytics streams or running transformer-based inference workloads in parallel.
• PCIe Gen4 x16 Interface (64 Gbit/s): Gen4 doubles the host-to-GPU bandwidth ceiling versus Gen3, reducing the bottleneck when feeding high-throughput workloads from NVMe storage or high-core-count CPUs. At 64 Gbit/s bidirectional, the interconnect won't be your constraint for most inference and transcoding tasks.
• 72 W Passive Thermal Design: Passive cooling eliminates the fan as a failure point and removes acoustic output entirely. For surveillance edge servers running 24/7 in IDF closets or unmanned equipment rooms, this is a real operational advantage — no fan replacements, no noise floor increase, no vibration-induced drive issues from a neighboring fan.
• Single-Slot Low-Profile Bracket: The LP bracket and single-slot mechanical footprint open up server slots that full-height or dual-slot GPU cards lock out. If you are populating a dense 1U or 2U platform where the adjacent slot is already occupied by a NIC or HBA, the 4X67A84824 fits where alternatives do not.
• DirectX 12 Ultimate / Shader Model 6.6 / OpenGL 4.6 / OpenCL 3.0: Full modern API coverage means the card handles both legacy visualization workloads and current-generation compute frameworks without driver shimming. OpenCL 3.0 is relevant for cross-platform inference runtimes that have not yet fully migrated to CUDA-only paths.
• NVIDIA L4 GPU Core: The L4 is NVIDIA's Ada Lovelace architecture inference accelerator — purpose-built for throughput-per-watt in data center and edge AI deployments. Unlike workstation or consumer cards repositioned for server use, the L4 is rated for continuous-duty server operation, with a TDP envelope that server power supplies and PDUs are designed to accommodate predictably.
• 169 mm Card Length: At 169 mm, the card clears the clearance constraints of shorter server chassis that reject standard 267 mm (full-length) add-in cards. Verify your chassis's physical card length limit before ordering — not all 1U platforms accept even LP-length cards at 169 mm.
• 1.30 lb / Passive Thermal Mass: The card's 1.30 lb weight is within standard server slot retention tolerances without additional GPU support brackets. In high-vibration environments (industrial edge, transportation), passive heatsinks with no moving parts present a more stable long-term installation than fan-cooled cards.

Integration & Compatibility

The 4X67A84824 is a Lenovo-sourced option card designed for ThinkSystem and ThinkEdge server platforms that formally support the NVIDIA L4. PCIe Gen4 x16 is backward-compatible with Gen3 x16 slots electrically, though bandwidth will be capped at Gen3 speeds (32 Gbit/s) if the host slot is Gen3 — confirm platform generation before deployment if bandwidth is a constraint. The passive cooling design requires adequate chassis airflow directed across the heatsink; passive cards in poorly ventilated chassis or with blocked airflow paths will thermal-throttle. The low-profile bracket ships standard; confirm whether your chassis requires a full-height bracket adapter, which may be available separately. The NVIDIA L4 is compatible with NVIDIA's enterprise software stack including TensorRT, CUDA, and vGPU (where licensed), supporting workloads from AI video analytics to virtual desktop infrastructure to media transcoding.

Frequently Asked Questions

Q: What server platforms is the Lenovo 4X67A84824 designed for?

A: The 4X67A84824 is a Lenovo option card intended for ThinkSystem and ThinkEdge server platforms that formally list NVIDIA L4 GPU support. Always verify your specific server model's compatibility matrix before ordering.

Q: Does the 4X67A84824 require an external power connector?

A: The NVIDIA L4 has a 72 W TDP, which falls within PCIe slot power delivery limits for many server platforms without a supplemental power connector. However, confirm your specific server's PCIe slot power budget — Lenovo server platforms vary. No external connector data was confirmed in the available evidence.

Q: Is passive cooling sufficient for 24/7 server operation?

A: Passive cooling on the L4 is designed for server chassis with directed airflow across the card. In properly configured server enclosures, passive operation is fully rated for continuous duty. Do not install in desktop chassis or enclosures without active airflow across the card's heatsink.

Q: Is the 4X67A84824 compatible with PCIe Gen3 servers?

A: PCIe Gen4 x16 is electrically backward-compatible with Gen3 x16 slots. The card will function in a Gen3 host, but interconnect bandwidth drops to approximately 32 Gbit/s (Gen3 x16) from 64 Gbit/s (Gen4 x16). For inference workloads that are memory-bandwidth-bound rather than interconnect-bound, the performance difference may be negligible.

Q: What is the card length of the 4X67A84824?

A: The card measures 169 mm in length. This is a low-profile (LP) form factor card. Verify your server chassis supports the LP bracket height and at minimum 169 mm card depth before ordering.

Q: Can the 4X67A84824 run multiple AI inference models simultaneously?

A: The 24 GB GDDR6 memory pool supports loading multiple model instances concurrently, subject to individual model memory footprints. Multi-instance GPU (MIG) capability depends on the L4's hardware support for MIG partitioning — consult NVIDIA's L4 MIG documentation for partition configurations.

James Everett

The 4X67A84824 is the card I reach for when a customer needs GPU inference in a platform where thermal budget is fixed and chassis airflow is the only cooling mechanism. That 72 W passive TDP is what makes this viable in 1U ThinkSystem slots where a dual-slot active card is simply off the table — not a compromise, just the right tool for a constrained deployment envelope.

Technical Highlights:

• 300 GB/s Memory Bandwidth: At 300 GB/s across 24 GB GDDR6, the L4 sustains high-throughput inference without memory saturation — a real factor when you are running concurrent video analytics streams rather than single-model batch jobs.
• 72 W TDP Passive: 72 W is low enough that most Lenovo ThinkSystem PCIe slots can deliver it without a supplemental power cable — simplifies cabling in dense configurations and removes a connector as a failure point.
• PCIe Gen4 x16 at 64 Gbit/s: Pairing this card with a Gen4-capable ThinkSystem platform doubles the host interconnect versus Gen3, keeping the bus clear for high-frame-rate video feeds or multi-stream AI pipelines without becoming the bottleneck.

Deployment Considerations:

• Passive cards require confirmed chassis airflow paths — validate that the server's internal airflow design actually crosses the L4 heatsink. Lenovo's ThinkSystem platform compatibility docs specify which slots support passive GPU options; do not assume all PCIe slots are thermally equivalent.
• The 169 mm card length fits most LP-capable 1U and 2U platforms, but a subset of ultra-short 1U chassis have card depth restrictions below 169 mm — check your chassis spec sheet, not just the bracket height.

For a ThinkEdge SE455 or ThinkSystem SR630 V3 deployed as an AI video analytics edge node — processing multiple simultaneous camera streams for object detection or license plate recognition — the 4X67A84824 is the correct slot option: enough memory for multi-model deployments, low enough TDP to stay within platform thermal envelopes, and a form factor that leaves adjacent slots free for networking.