Cisco HCI-GPU-T4-16 | NVIDIA T4 GPU, 16GB GDDR6, 75W, PCIe Gen3 x16

Q: What workloads is the NVIDIA T4 GPU optimized for?
A: The T4 is designed for AI inference, deep learning training and inference, machine learning, video transcoding, virtual desktop infrastructure, data analytics, and graphics workloads. Its Turing Tensor Cores deliver multi-precision performance optimized for production AI deployment at scale.

Q: What servers is this Cisco T4 GPU compatible with?
A: This GPU is compatible with Cisco UCS C-Series rack servers and HyperFlex HX-Series nodes, including C220 M5, C240 M5, and various SmartPlay configurations. The low-profile PCIe Gen3 x16 form factor enables deployment in standard enterprise servers with appropriate GPU slots.

Q: How does the T4's power efficiency benefit data center deployments?
A: The T4's 75W maximum power consumption and passive cooling design enable high-density GPU deployments in space-constrained environments. Its single-slot, low-profile form factor allows multiple GPUs per server while minimizing cooling requirements and energy costs.

Q: What precision formats does the T4 support for AI inference?
A: The T4 supports multi-precision computing including FP32, FP16, INT8, and INT4 precisions. This flexibility allows developers to optimize model performance and throughput for specific inference workloads, with up to 260 TOPS for INT4 operations.

Q: Can this GPU be used for virtualized workloads?
A: Yes, the T4 supports NVIDIA vGPU technology with configurable profiles from 1GB to 16GB, enabling GPU virtualization for VDI, cloud computing, and multi-tenant environments. It works with NVIDIA Virtual Compute Server for accelerating compute-intensive virtualized applications.