Cisco HX-GPU-T4-16 | T4 GPU Accelerator, 16GB GDDR6, 70W, PCIe Gen3 x16

Q: What workloads is the NVIDIA T4 optimized for?
A: The T4 is optimized for AI inference, deep learning, machine learning training, video transcoding, data analytics, and virtual desktop infrastructure (VDI). Its multi-precision Turing Tensor Cores deliver exceptional performance across FP32, FP16, INT8, and INT4 workloads, making it ideal for conversational AI, recommendation systems, fraud detection, and speech recognition applications.

Q: Which Cisco servers support the HX-GPU-T4-16?
A: This GPU is compatible with Cisco HyperFlex systems including HX220c Edge M5, HX220c M5, HX220c M5 All Flash, HX240c M5, HX240c M5 All Flash, HX240c M5 LFF, and Cisco UCS Smart Play HX220c M5 Entry and Value configurations. The low-profile design allows integration into standard rack-mount servers with adequate airflow for passive cooling.

Q: Does the T4 require active cooling?
A: No, the T4 uses passive cooling and relies on system airflow to operate within thermal limits. The 70W TDP design allows it to function efficiently in scale-out server environments without dedicated fans, reducing noise and power consumption while maintaining performance.

Q: What PCIe configuration does the T4 support?
A: The T4 supports both PCIe 3.0 x8 and x16 configurations with 32 GB/sec interconnect bandwidth. The low-profile, single-slot form factor fits into standard data center servers and provides flexible deployment options for various computing workloads.

Q: What memory features does the T4 provide?
A: The T4 includes 16GB of GDDR6 memory with 300 GB/sec bandwidth and ECC (Error Correcting Code) protection enabled by default. ECC memory ensures data integrity for mission-critical enterprise and AI inference workloads, while the high bandwidth supports demanding parallel computing tasks.