NVIDIA
SKU: 900-5G147-2270-000-01
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 NVIDIA 900-5G147-2250-000-01 RTX PRO 4500 Blackwell is a professional-grade graphics processing unit designed for enterprise-scale surveillance analytics, AI model inference, and real-time video processing pipelines. This non-retail OEM variant integrates into security operations centers, edge computing clusters, and centralized video management systems where you need deterministic GPU acceleration for deep-learning-based object detection, multi-camera tracking, and metadata extraction without the overhead of consumer-grade hardware or the licensing constraints of gaming cards. The Blackwell architecture represents a generational leap in compute density and memory bandwidth — critical when running dozens of concurrent video streams through analytics models on a single appliance.
The 900-5G147-2250-000-01 integrates into standard PCIe x16 slots on server-class motherboards. Compatibility includes any NVIDIA CUDA-enabled VMS plugin or custom analytics framework (DeepStream, TensorRT, Triton Inference Server). Verify motherboard power delivery and cooling capacity before deployment — this is not a passive device, and passive cooling environments will throttle performance. Works with industry-standard video management platforms that expose GPU acceleration APIs (ONVIF, RTSP, or vendor-specific SDKs). For OEM system builders and integrators, the non-retail designation means direct OEM sourcing without consumer channel markup — valuable when building large-scale surveillance appliances or edge compute nodes.
At 4.00 lb and 16 x 15 x 15.60 inches, this GPU requires a 2-slot PCIe form factor mounting. Designed for climate-controlled server rooms, data centers, or edge appliances with active cooling. Country of origin: China. When planning rack or edge deployment, allocate airflow proportional to power envelope (exact wattage per your NVIDIA datasheet for Blackwell RTX PRO 4500 — typically 70–100W). Pair with redundant power supplies and UPS protection typical for surveillance infrastructure.
Non-retail OEM packaging. The 900-5G147-2250-000-01 ships as a bare card without driver media, software, or mounting brackets. You will need a compatible PCIe x16 slot, adequate cooling (confirm with your OEM system integrator), and NVIDIA CUDA drivers for your operating system. Consult the system integrator or NVIDIA documentation for driver installation and CUDA toolkit setup.
Q: Is the 900-5G147-2250-000-01 NDAA Section 889 compliant?
A: NVIDIA RTX PRO products are manufactured by NVIDIA, a U.S. company. Confirm compliance status with your procurement team or NVIDIA directly, as compliance depends on final system integration and sourcing chain documentation. The RTX PRO product line is typically available under compliant supply chains, but verify for your specific project requirements.
Q: Can I use the 900-5G147-2250-000-01 in a standard desktop computer?
A: Yes, physically — it fits any PCIe x16 slot. However, this is an OEM professional GPU. Consumer motherboards may lack adequate power delivery or cooling capacity. It is designed for server-class or workstation-class systems with robust PSU capacity (confirm your board supports high-wattage add-in cards) and active cooling.
Q: What operating systems does the 900-5G147-2250-000-01 support?
A: NVIDIA RTX Professional drivers are available for Windows (64-bit), Linux (various distributions), and Citrix environments. Install the latest RTX Professional driver package from NVIDIA's support portal for your OS. Not compatible with gaming driver branches.
Q: Is there a warranty on this non-retail OEM card?
A: Warranty terms are determined by the OEM reseller or system integrator who supplies this 900-5G147-2250-000-01 to you. NVIDIA provides standard manufacturer warranty on professional products; contact the supplier for specific terms and RMA procedures.
Q: How does the Blackwell architecture improve surveillance analytics performance versus prior RTX PRO generations?
A: Blackwell delivers higher compute density (more CUDA cores, faster tensor operations) and improved memory bandwidth compared to Ada. This means faster inference latency on large models (object detection, tracking) and ability to run more concurrent streams per card. Exact performance gain depends on your specific model and workload — contact the supplier or NVIDIA for benchmarks specific to your analytics pipeline.
Q: Can I cluster multiple 900-5G147-2250-000-01 cards for even larger analytics workloads?
A: Yes. NVIDIA supports multi-GPU scaling via CUDA and NVLink (if your server supports it). Distributed analytics frameworks like NVIDIA DeepStream and TensorRT can distribute inference across multiple cards. Verify your system integrator supports multi-GPU configuration and cooling before deployment.

The NVIDIA 900-5G147-2250-000-01 RTX PRO 4500 Blackwell is the right GPU when you're deploying a centralized surveillance analytics cluster and need to consolidate inference workloads across dozens of camera streams without sacrificing latency or throughput. The Blackwell architecture — with its generational improvement in tensor compute and memory bandwidth — means you can run deeper, more accurate detection models (YOLO v8, Faster R-CNN) on more concurrent feeds per card than you could on prior professional generations. This isn't a card for single-camera edge deployments; it's for data center consolidation where raw compute density directly translates to cost recovery on software licensing and infrastructure power budgets.
Technical Highlights:
Deployment Considerations:
The 900-5G147-2250-000-01 belongs in centralized surveillance appliances, edge AI clusters, and OEM system builds where you're consolidating multi-stream deep-learning inference into fewer, more power-efficient nodes. Skip this card if you're deploying single-camera edge analytics (oversized and underutilized) or if your infrastructure cannot support robust cooling and PSU provisioning.
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