Cisco UCSX-GPU-T4-16-D | NVIDIA T4 GPU, 16GB GDDR6, 70W, PCIe 3.0 x16, Passive

Q: What workloads is the NVIDIA T4 GPU optimized for?
A: The T4 is optimized for AI inference, deep learning training and inference, machine learning, data analytics, virtual desktop infrastructure (VDI), video transcoding, and cloud graphics. Its multi-precision Tensor Cores enable efficient processing across FP32, FP16, INT8, and INT4 formats, making it ideal for production AI deployment at scale.

Q: Which Cisco UCS servers are compatible with the UCSX-GPU-T4-16-D?
A: This GPU is designed for Cisco UCS X-Series modular servers, including X210c and X410c compute nodes within the UCS X9508 chassis. The UCSX SKU designation indicates it is specifically qualified for the UCS X-Series platform, which uses a modular compute node architecture.

Q: What are the benefits of the passive cooling design?
A: The passive thermal solution eliminates fan noise and mechanical failure points, making the T4 ideal for high-density deployments. The 70W TDP allows efficient cooling through server airflow alone, enabling multiple GPUs per chassis while maintaining reliable operation in enterprise data centers.

Q: Does the T4 support GPU virtualization?
A: Yes, the NVIDIA T4 supports NVIDIA vGPU technology, enabling multiple virtual machines to share GPU resources. It offers flexible vGPU profiles from 1GB to 16GB, making it suitable for virtual desktop infrastructure (VDI), virtual workstations, and multi-tenant cloud computing environments.

Q: How does the T4's multi-precision capability improve AI performance?
A: The T4's Tensor Cores support FP32, FP16, INT8, and INT4 precision formats, allowing developers to optimize inference workloads for maximum throughput. INT8 operations deliver 130 TOPS while INT4 reaches 260 TOPS, providing up to 40x higher inference performance than CPUs for quantized neural network models.