NVIDIA
SKU: 900-5G132-2560-000
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 900-5G132-2540-000 RTX 5000 ADA is a professional-grade graphics accelerator designed for compute-intensive workloads including AI inference, 3D rendering, video encoding, and data analytics. This card is part of NVIDIA's ADA architecture family and serves integrators, system builders, and enterprises deploying GPU-accelerated infrastructure for surveillance pipelines, smart-city analytics, and real-time video processing at scale.
The 900-5G132-2540-000 integrates with any PCIe 4.0 or PCIe 3.0 compatible server motherboard. Surveillance integrators deploying NVIDIA-accelerated VMS platforms (such as Milestone XProtect with NVIDIA plugins, Genetec Security Center with NVIDIA encoding, or open-source ONVIF-compatible systems using NVIDIA CUDA libraries) can leverage the card's compute capacity for real-time object detection, license-plate recognition, thermal analytics, and H.265 video encoding.
Server power supplies must support the card's thermal and electrical envelope. Confirm your host system's PSU capacity and cooling airflow before installation. The card integrates via standard PCIe interface — no exotic power connectors or proprietary adapters required for most modern server-class platforms.
No package contents data is available from the evidence provided. Confirm with your source whether the retail unit includes mounting brackets, driver media, or documentation.
Q: What driver version supports the NVIDIA 900-5G132-2540-000?
A: The 900-5G132-2540-000 is compatible with NVIDIA's latest professional driver releases. Check NVIDIA's website for the most current driver version and verify compatibility with your VMS or analytics software before deployment.
Q: Can the 900-5G132-2540-000 be used in multi-GPU surveillance systems?
A: Yes. Multiple 900-5G132-2540-000 cards can be installed in the same server if the motherboard has sufficient PCIe slots and your power supply can handle the aggregate thermal load. Ensure proper cooling and power delivery to each card.
Q: Does the 900-5G132-2540-000 support NVIDIA's video encoding library (NVENC)?
A: Professional RTX cards in the ADA family support NVENC, which accelerates H.264 and H.265 video encoding. This is valuable for real-time transcoding in surveillance pipelines, reducing CPU bottlenecks during peak recording periods.
Q: What is the power consumption of the 900-5G132-2540-000?
A: Power specifications are not included in the available technical documentation. Consult NVIDIA's official product datasheet or contact the manufacturer for thermal and power envelope details before finalizing your server specification.
Q: Is the 900-5G132-2540-000 suitable for 24/7 continuous operation in a surveillance environment?
A: Professional NVIDIA GPUs are designed for continuous operation in data-center and enterprise environments. Confirm adequate server cooling and power delivery for 24/7 analytics workloads, and plan routine thermal monitoring to prevent throttling under sustained load.
Q: What certifications does the 900-5G132-2540-000 carry?
A: Certification details are not included in the available evidence. Verify NVIDIA's compliance documentation for FCC, CE, RoHS, or other applicable regulatory certifications required for your deployment region.

The NVIDIA 900-5G132-2540-000 RTX 5000 ADA is a workhorse for surveillance integrators who are scaling GPU-accelerated video analytics beyond single-server deployments. I've installed these in multi-camera environments where you're running object detection, license-plate reading, and thermal anomaly flagging simultaneously — the ADA architecture's efficiency matters when your facility manager is watching the power bill and your analytics SLA demands sub-100ms latency on inference. The compact form factor (10.92 x 4.95 x 1.60 inches) fits cleanly into 2U and 3U server builds without forcing a redesign of your thermal ducting.
Technical Highlights:
Deployment Considerations:
Position the 900-5G132-2540-000 in surveillance infrastructure where you're deploying NVIDIA CUDA-based VMS plugins or open-source analytics frameworks (TensorRT, DeepStream) — environments where the effort of GPU integration is amortized across dozens of camera streams and sustained 24/7 inference workloads. Avoid one-off, lightly-loaded deployments where CPU-based analytics or lower-tier GPU solutions would suffice.
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