NVIDIA 900-5G192-2571-000 | RTX 4000 SFF Ada 20GB Graphics Card, 70W, 4x miniDP

Q: What is the difference between the RTX 4000 SFF and the full-size RTX 4000 Ada?
A: The SFF (Small Form Factor) version is a dual-slot, low-profile card designed for compact workstations, while maintaining the same 20GB GDDR6 ECC memory and Ada Lovelace GPU core. The main differences are memory bandwidth (280 GB/s vs 360 GB/s) and power consumption (70W vs 130W), resulting in slightly lower performance in the SFF model, though both share the same 6,144 CUDA cores and core architecture.

Q: Does the RTX 4000 SFF Ada require external power connectors?
A: No, the RTX 4000 SFF Ada draws its full 70W of power directly through the PCIe 4.0 x16 slot and does not require any additional power cables. A minimum 250W power supply is recommended for stable system operation.

Q: What professional applications is the RTX 4000 SFF Ada certified for?
A: The RTX 4000 SFF Ada is ISV-certified for a broad range of professional applications including CAD software, 3D modeling and rendering tools, video editing platforms, and scientific computing applications. It delivers hardware-accelerated ray tracing, AI-enhanced workflows via Tensor Cores, and ECC memory for data integrity in mission-critical workloads.

Q: Can this GPU support multiple high-resolution displays?
A: Yes, the RTX 4000 SFF Ada features 4x Mini DisplayPort 1.4a outputs and can drive up to four 4K monitors at 120Hz, four 5K monitors at 60Hz, or two 8K monitors at 60Hz simultaneously, making it ideal for multi-display professional workflows.

Q: What are the key benefits of the Ada Lovelace architecture for professional workflows?
A: The Ada Lovelace architecture delivers over 2X single-precision floating-point (FP32) throughput compared to the previous generation, third-generation RT Cores for real-time ray tracing, fourth-generation Tensor Cores for AI acceleration, and dual encode/decode engines for video production. The 20GB ECC memory ensures data integrity for professional applications.