Lenovo
SKU: 4X61P46223
Overview
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Overview
Questions about this product? Free pre-sales support from a senior specialist — product questions, compatibility checks, BOM quotes, price confirmation — typically answered within one business day. Need camera placement or system design work? Engineering time is $175 per hour (qty 1 = 1 hour). Hardware buyers get up to one hour ($175) credited back on their order.
The Lenovo 4X67A96491 is a workstation-class discrete GPU based on NVIDIA's RTX 4500 Ada Generation architecture, carrying 24GB of GDDR6 memory over a PCIe 4.0 x16 interface. At 10 lb, this is a full-size add-in card sized for tower and rack workstations where compute density and display throughput matter — think AI inferencing at the edge, video analytics servers, or CAD/simulation workstations that feed into a broader security or automation stack.
The PCIe 4.0 x16 interface delivers double the host-to-card bandwidth of PCIe 3.0, which matters when you are streaming large inference batches or uncompressed video frames between the CPU and GPU. Pairing this card with a PCIe 4.0-capable server or workstation motherboard is worth confirming at configuration time — the card is backward-compatible with PCIe 3.0 slots, but you will leave bandwidth on the table.
The listed interface attributes include both PCIe and Ethernet, which suggests this SKU may be configured for a specific Lenovo platform or workstation bundle — verify the exact system compatibility with your Lenovo account team before ordering, as GPU option cards of this type are frequently platform-matched to specific ThinkStation or ThinkSystem chassis.
The 4X67A96491 is a Lenovo option part, manufactured in Mexico (country of origin MX), and distributed through enterprise channels. UNSPSC code 43201401 classifies it under computer processing units and accessories. Confirm platform compatibility — Lenovo GPU option cards are validated against specific ThinkStation and ThinkSystem platform lists, and not all PCIe 4.0 x16 slots are mechanically or electrically equivalent across chassis generations.
For deployments pairing this GPU with AI-driven video analytics servers, verify that your chosen IP camera VMS or analytics platform publishes NVIDIA Ada GPU support — most enterprise video management software stacks that support GPU acceleration target CUDA, which the RTX 4500 Ada supports. Review the AI compute workstation and GPU accelerator categories for compatible host platforms.
Q: What PCIe generation does the 4X67A96491 require?
A: The card uses a PCIe 4.0 x16 interface. It is backward-compatible with PCIe 3.0 slots, but running in a PCIe 3.0 system will halve the available host-to-card bandwidth. For full performance, pair with a PCIe 4.0-capable platform.
Q: How much video memory does the 4X67A96491 have?
A: 24GB GDDR6. This is a workstation-class frame buffer suited for multi-stream inference, large model loading, and concurrent visualization workloads.
Q: Is the 4X67A96491 compatible with any Lenovo workstation or only specific platforms?
A: Lenovo GPU option cards are validated against specific ThinkStation and ThinkSystem platform compatibility lists. Confirm your chassis is on the validated platform list before ordering — not all PCIe x16 slots are mechanically identical across generations.
Q: Where is the 4X67A96491 manufactured?
A: Country of origin is Mexico (MX), per distribution channel documentation.
Q: Does the 4X67A96491 support CUDA for AI inference workloads?
A: The RTX 4500 Ada Generation is an NVIDIA GPU and supports CUDA. However, verify your specific software stack's GPU compatibility list — CUDA support alone does not guarantee compatibility with every analytics or VMS platform.

The 4X67A96491 is a Lenovo-optioned RTX 4500 Ada carrying 24GB of GDDR6 over PCIe 4.0 x16 — the spec combination I look for when sizing a multi-stream AI analytics node where the GPU frame buffer is the first thing that runs out in production. At 10 lb, this is a full double-slot card; chassis clearance and power delivery need to be confirmed before you order.
Technical Highlights:
Deployment Considerations:
Best fit for a dedicated AI inferencing node in a physical security operations center or a warehouse automation edge server — where 24GB GDDR6 and full PCIe 4.0 bandwidth justify the card over a lower-memory option, and where the workload is sustained rather than bursty.
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