Dell
SKU: 490-BKFX
Overview
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Overview
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The Dell 490-BKHG is a full-height, full-length professional graphics card built around the NVIDIA RTX 4000 Ada Generation GPU. With 20 GB of GDDR6 memory on a 160-bit bus delivering 360 Gbit/s of memory bandwidth, it's sized for compute-intensive workloads — multi-stream video decode, AI inferencing at the edge, visualization, or dense VMS display walls — without stepping up to data-center-class power draw. If you're evaluating professional GPUs in this tier, the 490-BKHG sits in a well-defined position: more memory than the entry Ada workstation cards, PCIe 4.0 bandwidth, and a single-fan active cooler in a form factor that installs in any standard ATX workstation or server chassis with a full-height slot.
The 490-BKHG installs into any PCIe 4.0 x16 or PCIe 3.0 x16 slot — backward compatibility means it drops into existing workstation refreshes without a motherboard change, though you'll operate at Gen 3 bandwidth on older platforms. The full-height, full-length form factor requires a standard ATX bay; confirm chassis clearance at 14.10 inches card length before ordering for short-depth rack-mount enclosures. At 2.00 lb, it's within normal single-card handling range. For VMS deployments, NVIDIA CUDA-accelerated decode is supported by major video management platforms including Milestone, Genetec, and Avigilon — confirm your specific VMS version's GPU acceleration matrix before deploying. The card's four DP 1.4a outputs integrate directly into multi-monitor display walls without a secondary display controller, simplifying the BOM for operations center builds. For professional GPU comparisons across the Dell workstation line, evaluate slot availability and chassis depth alongside memory capacity — those two constraints eliminate more options than core count does in most security deployments.
Q: What is the memory capacity and type on the 490-BKHG?
A: The 490-BKHG carries 20 GB of GDDR6 memory on a 160-bit bus with 360 Gbit/s bandwidth — sufficient for multi-stream 4K decode pipelines and holding AI inference model weights in GPU memory without frequent host transfers.
Q: How many monitors can the 490-BKHG drive simultaneously?
A: The card supports up to four independent displays via four DisplayPort 1.4a outputs. This covers a standard quad-monitor security operations center layout without a secondary display controller.
Q: Will the 490-BKHG fit in a rack-mount workstation?
A: The card is full-height, full-length (FH/FL) and measures 14.10 inches in length. Verify chassis depth and available full-height slot clearance in any rack-mount or short-depth enclosure before purchasing — it requires a standard ATX-depth bay.
Q: Is the 490-BKHG compatible with PCIe 3.0 systems?
A: Yes. PCIe 4.0 x16 cards are backward compatible with PCIe 3.0 x16 slots. You will operate at reduced host-to-GPU bandwidth (PCIe 3.0 rates) on older platforms, which may matter for very high-throughput inferencing pipelines but is generally acceptable for display and moderate decode workloads.
Q: Does the 490-BKHG support CUDA acceleration for VMS analytics?
A: Yes — the card includes 6144 NVIDIA CUDA cores on the Ada Lovelace architecture, which supports CUDA-accelerated decode and AI inferencing. Compatibility with a specific VMS platform's GPU acceleration feature depends on that platform's version and driver support matrix; confirm with your VMS vendor.
Q: What is the weight of the 490-BKHG?
A: The card weighs 2.00 lb. Standard single-slot GPU support brackets are sufficient; no additional chassis reinforcement is required for normal installations.

When I look at the 490-BKHG for a physical security deployment, the number that stands out first is 360 Gbit/s of memory bandwidth on that 160-bit GDDR6 bus. That's not a marketing figure — it's what determines whether your decode-plus-analytics pipeline stalls waiting on memory or keeps moving. At a 20 GB frame buffer, this card is specced above the typical single-use display card and into territory where you can seriously consider running simultaneous GPU-accelerated decode and lightweight AI inferencing on the same card in a consolidated workstation.
Technical Highlights:
Deployment Considerations:
This card is a strong fit for a security operations center workstation that consolidates VMS display (four monitors, no separate controller) with GPU-accelerated analytics in a single full-height slot — the 20 GB buffer and Ada CUDA architecture handle that combined workload where a lighter display-only card would not.
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