Cisco HX-GPU-V100 | Tesla V100 GPU, 16GB HBM2, PCIe Gen3 x16, 250W

Q: What Cisco systems is the HX-GPU-V100 compatible with?
A: The HX-GPU-V100 is designed for Cisco HyperFlex HX-Series systems, particularly the HX240c models. It is also compatible with Cisco UCS C-Series rack servers such as the C240 M5 that support full-height, full-length PCIe GPU cards with adequate power and cooling.

Q: What workloads benefit most from the Tesla V100?
A: The Tesla V100 excels at AI training and inference, deep learning model development, high-performance computing simulations, scientific computing, data analytics, and machine learning applications. The 640 Tensor Cores deliver over 100 TFLOPS for mixed-precision deep learning workloads, significantly accelerating neural network training.

Q: Does this GPU require active cooling or special power connections?
A: The HX-GPU-V100 uses passive cooling and requires the host server to provide adequate airflow. It draws up to 250W and connects via PCIe Gen3 x16. Depending on the server chassis, auxiliary PCIe power cables may be required and should be verified during installation.

Q: Can multiple V100 GPUs be installed in a single server?
A: Yes, depending on the server model and available PCIe slots, power budget, and cooling capacity. Cisco UCS C240 M5 servers, for example, can support multiple GPU cards. Multi-GPU configurations can leverage peer-to-peer GPU communication for scaled performance.

Q: What software frameworks are supported?
A: The Tesla V100 supports CUDA, DirectCompute, OpenCL, and OpenACC compute APIs. It is compatible with leading AI and machine learning frameworks including TensorFlow, PyTorch, MXNet, Caffe, and NVIDIA's RAPIDS suite for accelerated data science.