Cisco UCSC-GPU-V100 | Tesla V100 GPU, 16GB HBM2, 5120 CUDA Cores, 640 Tensor

Q: What server models support the UCSC-GPU-V100?
A: This GPU is compatible with Cisco UCS C240 M5 rack servers in both large and small form factor configurations, C240 M5L servers, C480 M5 Standard Base Chassis, and various SmartPlay Select configurations including C240 M5 Advanced and Standard models.

Q: What workloads is the Tesla V100 optimized for?
A: The Tesla V100 excels at AI training and inference, deep learning model development, high-performance computing simulations, scientific research, data analytics, and machine learning applications. The 640 Tensor cores deliver breakthrough performance for neural network training, while 5120 CUDA cores handle complex parallel computing tasks.

Q: Can multiple V100 GPUs be deployed in a single server?
A: Yes, depending on server configuration and available PCIe slots, multiple V100 GPUs can be installed to scale compute capacity. The PCIe version supports 32 GB/s interconnect bandwidth, and for maximum multi-GPU performance, the SXM2 version with NVLink offers up to 300 GB/s GPU-to-GPU communication.

Q: What cooling solution does this GPU use?
A: The UCSC-GPU-V100 features passive thermal cooling designed for data center rack environments with adequate airflow. The 250W TDP requires proper server chassis cooling infrastructure to maintain optimal operating temperatures.

Q: How does HBM2 memory benefit AI workloads?
A: The 16GB HBM2 memory delivers 900 GB/s bandwidth, significantly faster than traditional GDDR memory. This high-bandwidth, low-latency memory architecture enables rapid processing of large datasets and complex AI models, reducing training time and improving inference throughput for demanding computational tasks.