Cisco UCSX-GPU-T4-16 | NVIDIA T4 Graphics Card, 16GB GDDR6, 75W, PCIe 3.0

Q: What workloads is the NVIDIA T4 optimized for?
A: The T4 GPU accelerates AI inference, deep learning training and inference, machine learning, high-performance computing, data analytics, virtual desktops (VDI), and graphics workloads. Its Turing Tensor Cores and multi-precision compute capabilities make it ideal for production AI deployment and edge inferencing.

Q: Which Cisco UCS servers support the UCSX-GPU-T4-16?
A: The UCSX-GPU-T4-16 is compatible with Cisco UCS C-Series rack servers including C220 M5, C220 M6, C240 M5, C240 M5L, and related SmartPlay configurations. The C220 M6 server supports up to three T4 GPUs in PCIe slots. Verify your specific server model's GPU compatibility in the Cisco hardware compatibility matrix.

Q: Does this GPU require external power connectors?
A: No, the NVIDIA T4 draws its 75W power entirely from the PCIe 3.0 x16 slot and does not require auxiliary power cables. This simplifies installation and makes it suitable for servers with limited power supply capacity or cable management constraints.

Q: Is NVIDIA GRID or vGPU licensing required?
A: For virtual desktop infrastructure (VDI) or GPU virtualization features such as NVIDIA vGPU or GRID Virtual Workstation, you must obtain NVIDIA GRID software licenses separately from NVIDIA. For compute workloads using CUDA, TensorRT, or containerized applications, no additional licensing is required beyond your application software.

Q: What is the difference between UCSX-GPU-T4-16 and UCSC-GPU-T4-16?
A: Both SKUs refer to the same NVIDIA T4 GPU hardware with identical specifications. The UCSX prefix typically indicates SKUs qualified for Cisco UCS X-Series modular systems or newer UCS platforms, while UCSC denotes C-Series rack servers. Verify compatibility with your specific server generation and model.