Cisco HX-GPU-P100-16G | Tesla P100 GPU Accelerator, 16GB HBM2, 3584 CUDA Cores

Q: What workloads is the Tesla P100 optimized for?
A: The Tesla P100 is engineered for high-performance computing (HPC), AI training, deep learning, scientific simulation, molecular dynamics, quantum chemistry, and large-scale data analytics. It is not designed for gaming or consumer graphics applications.

Q: Does this GPU require special cooling?
A: Yes, the HX-GPU-P100-16G uses passive cooling with no active fan. It relies entirely on the server's internal airflow system to dissipate heat. Proper chassis airflow and adequate ventilation are essential for reliable operation in Cisco HyperFlex systems.

Q: What Cisco systems support this GPU?
A: This GPU is designed for Cisco HyperFlex HX-Series systems, including the UCS HX220c M5, HX240c M5, and HXAF240c M5 server nodes. It connects via PCIe Gen 3.0 x16 interface and requires compatible server chassis with sufficient power and cooling capacity.

Q: What is the difference between HBM2 and GDDR5 memory?
A: HBM2 (High Bandwidth Memory 2) offers significantly higher memory bandwidth—732 GB/s on the P100 versus typical GDDR5 configurations. The 4096-bit memory interface and stacked memory architecture provide superior performance for memory-intensive compute workloads like AI model training and scientific computing.

Q: Can multiple Tesla P100 GPUs be used together?
A: Yes, Cisco HyperFlex systems can be configured with multiple Tesla P100 GPUs for increased computational throughput. The GPUs can work in parallel for distributed training, multi-GPU simulations, or containerized workloads, depending on application support and system configuration.