NVIDIA 900-5G195-2200-000-01 RTX PRO 4000 SFF Blackwell (atx) - Non-retail

NVIDIA 900-5G195-2200-000-01 RTX PRO 4000 SFF Blackwell Professional GPU

Overview

The NVIDIA 900-5G195-2200-000-01 is a compact RTX PRO 4000 SFF Blackwell professional graphics processor designed for demanding compute workloads in security operations centers, AI-driven video analytics pipelines, and real-time surveillance infrastructure. This small-form-factor (SFF) card fits into space-constrained deployments where full-size GPUs won't fit, yet delivers the parallel processing horsepower needed for live transcoding, object detection inference, and multi-stream codec acceleration across surveillance and security applications.

Key Features

• Compact SFF Enclosure (16.00 × 15.00 × 15.60 inches): Designed to fit into standard ATX chassis without occupying excessive rack or cabinet depth — critical when you're integrating GPU acceleration into existing surveillance server hardware or edge appliances without a physical redesign. The 4.00 lb weight keeps installation burden manageable.
• Blackwell Architecture: Latest-generation GPU architecture built for AI inference, tensor operations, and media encoding tasks that power modern video analytics — facial recognition, license plate OCR, crowd counting, and behavioral anomaly detection all benefit from the instruction set and memory bandwidth of current-generation professional silicon.
• Factory-New, Direct Manufacturer Sourcing: Sourced direct from manufacturer distribution channels. No grey-market stock, no parallel imports — critical in regulated security environments where supply chain integrity and provenance documentation matter for audit trails and compliance.
• Professional Driver Support: RTX PRO line receives long-term driver support cycles and NVIDIA CUDA compute certification, ensuring compatibility with surveillance VMS platforms, encoding engines (FFmpeg with NVIDIA acceleration, GStreamer NVENC), and third-party analytics frameworks (TensorFlow, PyTorch) that security integrators rely on.
• Multiple Display and Encoding Pipelines: Supports simultaneous video output and hardware-accelerated encode/decode operations — allows you to run real-time transcoding (8-bit H.264 to 10-bit H.265, or vice versa) while feeding analytics engines and monitor walls in parallel without CPU overhead.
• Passive or Active Cooling Options: Small form factor does not mean passive-only operation; compatible with standard aftermarket GPU coolers if thermal load demands it, or integrates into existing server thermal design without custom brackets or modifications.

Integration & Compatibility

The 900-5G195-2200-000-01 integrates via standard PCIe Gen 5 slots in modern motherboards, making it a drop-in accelerator for surveillance servers built on commodity Intel Xeon or AMD EPYC platforms. Surveillance VMS platforms including Milestone XProtect, Genetec Security Center, and Hanwha SmartVMS all support GPU-accelerated transcoding via NVIDIA NVENC codecs. Security appliances running containerized analytics (Docker/Kubernetes) can expose the GPU for inference workloads using NVIDIA Container Runtime, avoiding the need for bare-metal GPU scheduling. Integration with standard CUDA-aware libraries means custom video processing pipelines and machine-learning inference stacks inherit GPU acceleration without recompilation.

What's in the Box

Exact package contents not specified in manufacturer documentation. Verify with your distributor regarding inclusion of thermal paste, PCIe power connectors, or documentation.

Frequently Asked Questions

Q: Is the 900-5G195-2200-000-01 compatible with my existing surveillance server?

A: If your server has a PCIe Gen 5 (or Gen 4) slot available and sufficient power delivery (consult NVIDIA specs for TGP — Thermal Graphics Power), the RTX PRO 4000 SFF installs directly. However, verify your server BIOS supports the Blackwell GPU family and your VMS/analytics software has driver support for NVIDIA acceleration. Contact your security integrator for compatibility validation.

Q: What video codecs does the 900-5G195-2200-000-01 hardware-accelerate?

A: Blackwell NVENC supports H.264, H.265 (HEVC), and AV1 encoding in real-time. NVDEC (decode) supports H.264, H.265, VP8, VP9, AV1, and other formats. This enables live transcode (e.g., camera stream H.264 → H.265 for archive storage) without CPU bottlenecks.

Q: Does the 900-5G195-2200-000-01 require external power connectors?

A: RTX PRO 4000 SFF models typically draw power via PCIe slot and optional 6-pin or 8-pin PCIe auxiliary connectors depending on actual workload. Consult NVIDIA TGP specifications and your server PSU capacity before installation.

Q: What operating system and driver support exists for the 900-5G195-2200-000-01?

A: NVIDIA provides certified drivers for Linux (Ubuntu, Rocky, CentOS), Windows Server, and Windows 10/11. Professional driver branches (not gaming drivers) carry extended support windows — important for security deployments where OS patching cycles are planned far in advance.

Q: Can I use the 900-5G195-2200-000-01 for AI inference (object detection, face recognition)?

A: Yes. The Blackwell architecture supports NVIDIA TensorRT and CUDA compute, so inference frameworks like TensorFlow, PyTorch, and proprietary analytics engines all offload to the GPU. This accelerates real-time video analytics without consuming CPU cores.

Q: Is the 900-5G195-2200-000-01 NDAA Section 889 compliant or FIPS-certified?

A: NVIDIA does not market RTX PRO as bearing specific government security certifications. For regulated deployments (federal, defense, or critical infrastructure), engage with NVIDIA directly regarding compliance status for this specific SKU.

Jerry Tildsen

I've deployed the 900-5G195-2200-000-01 in three surveillance backoffice builds over the past year — specifically where existing server hardware was already locked in and we needed GPU acceleration without a full platform redesign. The compact SFF footprint is genuine here: 16 × 15 × 15.60 inches fits into standard rackmount GPU shelves and doesn't force you to scrap a working Xeon motherboard just to add Blackwell silicon. That matters when you're retrofitting codec acceleration or analytics inference into a facility that's running Milestone or Genetec on commodity x86 iron.

Technical Highlights:

• Blackwell NVENC/NVDEC Pipeline: Real-time H.264-to-H.265 transcoding of 8+ concurrent 1080p streams with <5% CPU tax. On older hardware (Maxwell or Pascal), you'd burn 2–3 Xeon cores per transcode task. The 900-5G195-2200-000-01 shifts that load entirely to GPU, freeing CPU for analytics or NVR buffer management.
• PCIe Gen 5 Bandwidth: 128 GB/s theoretical throughput per direction means you can feed multiple video streams to the card and pull processed output without bottlenecking the CPU. Matters when you're running parallel analytics pipelines (TensorFlow object detection + custom motion detection) on the same GPU.
• Long-Term Driver Support (RTX PRO Line): Unlike gaming GPUs, RTX PRO receives 5+ year driver cycles tied to professional workloads. If your VMS vendor supports NVIDIA acceleration today, that support path stays open through OS updates and security patches — you won't wake up to a driver EOL notice mid-deployment.

Deployment Considerations:

• PCIe slot availability is non-negotiable. Your x86 motherboard must expose a free Gen 5 or Gen 4 slot; if all slots are occupied by network cards or storage adapters, you're stuck. Check your server inventory before ordering.
• Power delivery: even SFF cards draw meaningful current under sustained transcode load. Verify your PSU has headroom and that your server chassis supports the auxiliary PCIe connectors (6-pin or 8-pin) without cable routing nightmares — I've seen one install derailed because the PSU loom was too tight for the power connector to seat cleanly.

Best fit: established surveillance operations where you're adding transcoding horsepower to an existing server fleet, or where analytics inference (license plate OCR, crowd counting via TensorFlow) is bolted onto a platform that's already running a VMS. Not the choice for greenfield deployments where you have the luxury of designing around GPU requirements from the start — in those cases, a dedicated analytics appliance often makes more economic sense. But if you've got a working server and a specific transcode or inference bottleneck, the 900-5G195-2200-000-01 clears the bar.