Cisco HX-GPU-V100-32 | Tesla V100 GPU, 32GB HBM2, 250W, PCIe Gen3 x16

Q: What Cisco servers is the HX-GPU-V100-32 compatible with?
A: This GPU is compatible with Cisco UCS C240 M5 Rack Servers (both large and small form factor models), C480 M5 chassis, C240 M5L servers, and various HyperFlex HX-Series configurations. The host server must be equipped with a 1200W or 1400W power supply to support GPU operation.

Q: What is the difference between the PCIe and SXM2 versions of Tesla V100?
A: The PCIe version (HX-GPU-V100-32) uses a standard PCIe Gen3 x16 interface with 250W TDP and passive cooling, making it suitable for traditional rack servers. The SXM2 version uses NVIDIA NVLink interconnect with 300W TDP and higher interconnect bandwidth (300GB/s vs 32GB/s), designed for multi-GPU HPC configurations.

Q: How many Tesla V100 GPUs can be installed in a single server?
A: Most Cisco UCS C240 M5 servers support one GPU installation, though configurations with self-encrypting drives (SED) can support up to two GPUs. GPU mixing is allowed across compatible models. When using NVIDIA GPUs, total system memory is limited to less than 1TB (maximum fourteen 64GB DIMMs).

Q: What workloads benefit most from Tesla V100 acceleration?
A: The Tesla V100 excels at AI training and inference, deep learning model development, high-performance computing simulations, scientific computing, data analytics, and computational fluid dynamics. The Tensor Cores provide significant acceleration for mixed-precision matrix operations common in neural network training.

Q: Does the HX-GPU-V100-32 require additional power cables?
A: Yes, the card requires one 8-pin PCIe power connector. Some server configurations may require a CPU 8-pin to PCIe 8-pin adapter dongle, which should be verified against your specific server model's power delivery capabilities.