Lenovo 4X67A13125 Quadro RTX 6000 24GB PCIE PAS

Lenovo 4X67A13125 NVIDIA Quadro RTX 6000 24GB Professional Workstation GPU

Overview

The Lenovo 4X67A13125 is a professional-grade add-in card built around the NVIDIA Quadro RTX 6000 GPU, equipped with 24 GB of GDDR6 frame buffer across a 384-bit memory bus — the configuration that matters when your workstation is running compute-intensive workloads that can't tolerate frame drops, memory eviction, or driver-level instability. This is a discrete PCIe card intended for workstation integration, not consumer gaming: it ships with enterprise drivers, certified ISV application support, and a memory capacity that handles large scene graphs, high-resolution video pipelines, and parallel inference tasks that would exhaust a smaller card mid-job. If you're deploying compute into a rack workstation or tower server that accepts a full-length PCIe x16 card, the 4X67A13125 is the Lenovo channel part for this GPU tier.

The Quadro RTX 6000 sits in the upper tier of NVIDIA's professional line-up. At 4608 CUDA cores, it has the parallel throughput to accelerate rendering, simulation, and inference workloads simultaneously without queueing threads. The 24 GB GDDR6 frame buffer — running at 14 Gbit/s per pin across that 384-bit bus — delivers 624 GB/s of peak memory bandwidth, which is the number that governs how fast the GPU can stream large datasets through the shader pipeline. Bandwidth, not core count alone, is what limits throughput on memory-bound workloads like high-resolution texture processing or large-batch neural network inference.

Explore the broader professional graphics card catalog or the workstation components section to find compatible host systems and complementary hardware for this tier of GPU deployment.

Key Features

• 24 GB GDDR6 Frame Buffer: 24 GB is the practical threshold where you stop worrying about VRAM headroom on demanding workloads — large 3D scenes, multi-stream 4K/8K video processing, and batch inference tasks that regularly exhaust 16 GB cards will run without spilling to system memory, which would degrade performance by an order of magnitude.
• 624 GB/s Memory Bandwidth via 384-Bit Bus: The 384-bit bus width paired with 14 Gbit/s GDDR6 delivers 624 GB/s of bandwidth. On memory-bandwidth-bound workloads — which includes most real-time rendering and many AI inference pipelines — this is the number that sets your throughput ceiling, not CUDA core count.
• 4608 CUDA Cores: Provides the parallel compute headroom for workloads that can be decomposed across thousands of threads simultaneously: physics simulation, ray tracing acceleration, neural network training, and real-time rendering. More cores reduce queue depth on fully parallelized tasks.
• NVLink Support: NVLink allows two Quadro RTX 6000 cards to share their frame buffers as a unified pool — effectively 48 GB addressable VRAM when paired. If your workload is outgrowing a single card's 24 GB ceiling, NVLink is the scale-up path that avoids moving to a different GPU family.
• 4x DisplayPort 1.4 Outputs: Drives up to four independent displays at DisplayPort 1.4 bandwidth — sufficient for 4K @ 120 Hz or 8K @ 60 Hz per port. For multi-display command center configurations, real-time video wall setups, or workstation deployments requiring four simultaneous high-resolution outputs, all four ports are active simultaneously without a hub.
• PCI Express x16 3.0 Interface: Slots into any standard PCIe x16 Gen 3 (or backward/forward compatible Gen 4/5) slot. The PCIe interface provides the CPU-to-GPU data path for feeding the card with geometry, textures, and inference input data — Gen 3 x16 delivers approximately 16 GB/s bidirectional bandwidth, adequate for this GPU class.
• DirectX 12.0 and OpenGL 4.5: Full API coverage for both modern real-time rendering pipelines (DirectX 12) and legacy professional CAD/visualization applications that rely on OpenGL 4.5. You won't need to qualify a different card if your software mix spans both ecosystems.
• HDCP Support: HDCP compliance means encrypted premium content can be decoded and displayed through this card's outputs — relevant for deployments that need to pass DRM-protected streams through a professional workstation display chain.
• Ethernet Interface: Beyond the PCIe graphics interface, the 4X67A13125 also presents an Ethernet interface, which is relevant for specific workstation platforms and GPU-accelerated networking configurations. Verify your host system's support for this interface in your deployment planning.

Integration and Compatibility

The 4X67A13125 installs into a PCIe x16 Gen 3 slot and is compatible with workstation platforms that provide adequate slot clearance for a full-length, full-height add-in card of this performance class. At 10 lb shipping weight, the physical card is substantial — verify that your workstation chassis provides both the mechanical support and the PCIe slot power delivery that a Quadro RTX 6000 requires. NVIDIA Quadro-class cards run on enterprise driver branches separate from GeForce consumer drivers, which provides the driver stability and ISV certification that production workstation environments depend on.

NVLink compatibility allows pairing two Quadro RTX 6000 cards for a unified 48 GB VRAM pool — applicable when a single card's 24 GB is insufficient. For multi-GPU configurations, your host motherboard must support NVLink bridges and your software stack must be NVLink-aware to take advantage of the unified memory space.

Four DisplayPort 1.4 outputs support a maximum of four simultaneous displays. HDCP compliance means DRM-protected content pipelines pass through correctly. DirectX 12.0 and OpenGL 4.5 ensure broad application compatibility across both modern and legacy professional software stacks. For PoE switching, rack systems, or server platforms that pair with GPU-accelerated workstations, see the network switch catalog and compute platforms available for complete system builds.

If you are deploying this GPU in a video analytics or AI inference pipeline for physical security — pairing with network video recorders or a dedicated video management system — the 24 GB frame buffer and 4608 CUDA cores provide the headroom to run multiple deep learning inference streams simultaneously without the GPU becoming the bottleneck.

Frequently Asked Questions

Q: What PCIe slot does the Lenovo 4X67A13125 require?

A: The 4X67A13125 uses a PCI Express x16 3.0 interface. It is backward and forward compatible with PCIe x16 Gen 4 and Gen 5 slots, though operating at Gen 3 bandwidth. Verify your workstation or server chassis provides a full-length, full-height x16 mechanical slot with adequate power delivery for a Quadro RTX 6000-class card.

Q: How much video memory does the 4X67A13125 have, and what type?

A: The 4X67A13125 carries 24 GB of GDDR6 memory on a 384-bit bus, running at 14 Gbit/s per pin for a peak bandwidth of 624 GB/s. This is the card's primary performance differentiator for memory-bandwidth-bound workloads.

Q: Can two 4X67A13125 cards be linked for more VRAM?

A: Yes. The Quadro RTX 6000 supports NVLink, which allows two cards to present their frame buffers as a unified memory pool — effectively 48 GB of addressable VRAM when paired. Your host system and software must support NVLink for this configuration to function correctly.

Q: How many monitors can the 4X67A13125 drive simultaneously?

A: The card supports up to four simultaneous displays via four DisplayPort 1.4 outputs. Each port supports high-resolution output up to the DisplayPort 1.4 bandwidth limit, covering 4K and 8K display configurations.

Q: Is the 4X67A13125 suitable for AI inference workloads in video analytics deployments?

A: The Quadro RTX 6000 with 4608 CUDA cores and 24 GB GDDR6 is capable of running parallel deep learning inference streams. Its CUDA architecture supports NVIDIA's inference frameworks. Verify your specific inference software stack's GPU requirements and driver compatibility before deployment.

Q: Does the 4X67A13125 support HDCP?

A: Yes. HDCP is supported on this card's DisplayPort outputs, allowing DRM-protected content to pass through the display pipeline without decryption errors.

Eden Phillips

When I look at the 4X67A13125, the specification that defines where it belongs in a deployment is the 384-bit memory bus paired with 24 GB GDDR6 running at 14 Gbit/s — that combination yields 624 GB/s of memory bandwidth, which is the throughput figure that separates this card from the 256-bit-bus alternatives that technically offer similar core counts but throttle on bandwidth-bound workloads the moment scene complexity or batch size scales up.

Technical Highlights:

• 624 GB/s Memory Bandwidth: Derived from the 384-bit bus width and 14 Gbit/s GDDR6 data rate — this is the spec that governs real-world throughput on texture streaming, large-batch inference, and high-resolution video processing, not peak CUDA TFLOPS figures.
• 4608 CUDA Cores with NVLink: Enough parallel compute for production-grade rendering and inference; NVLink allows a second Quadro RTX 6000 to pool its frame buffer, giving you a 48 GB unified VRAM space without changing GPU families or driver stacks.
• 4x DisplayPort 1.4 at Full Simultaneous Output: All four ports active at once — relevant for multi-display command center workstations or video wall driving applications where you need four independent high-bandwidth display connections from a single card.

Deployment Considerations:

• This is a full-length, full-height PCIe card at a shipping weight of 10 lb — confirm your chassis has the mechanical clearance, slot support bracket, and power delivery headroom that a Quadro RTX 6000 draws before ordering. A chassis that is tight on PCIe power lanes will create problems at commissioning.
• NVLink is only useful if both your host motherboard supports the bridge connector and your software explicitly addresses the unified memory pool — don't assume NVLink delivers automatic VRAM pooling across all applications; it requires NVLink-aware driver and application support to function as a single 48 GB device.

For physical security integrators running server-side video analytics — multiple simultaneous deep learning inference streams against IP camera feeds — the Quadro RTX 6000's 24 GB frame buffer means you can load large detection models and keep them resident in VRAM across many concurrent streams without model-swapping overhead. That is the deployment scenario where this card earns its keep versus a lower-VRAM alternative.