Cisco HX-GPU-A100 | A100 40GB Graphics Card, Ampere Tensor GPU, 250W Passive

Q: What is Multi-Instance GPU (MIG) and how does it benefit data center deployments?
A: MIG allows the A100 to be partitioned into up to seven isolated GPU instances, each with dedicated memory, cache, and compute resources. This enables multiple workloads to run simultaneously on a single GPU, maximizing utilization and providing flexible resource allocation for AI inference, training, and mixed workloads in cloud and enterprise environments.

Q: Is this GPU compatible with Cisco UCS and HyperFlex servers?
A: Yes, the HX-GPU-A100 is specifically designed for Cisco HyperFlex HX-Series and UCS C-Series rack servers. It requires PCIe Gen4 x16 slot support and BIOS configuration for greater than 4GB memory-mapped I/O. Compatible servers include HX240c M5, HX245c M6, and various UCS C-Series models with appropriate risers and power capacity.

Q: What types of workloads benefit most from the A100 40GB GPU?
A: The A100 40GB excels at AI training and inference, deep learning with large neural networks, natural language processing, computer vision, high-performance computing simulations, scientific research, data analytics, and recommendation systems. It delivers up to 20X performance improvement over previous generations for mixed-precision AI workloads.

Q: What is the difference between the 40GB and 80GB A100 models?
A: The 40GB model uses HBM2 memory with 1,555 GB/s bandwidth and 250W TDP, while the 80GB model uses HBM2e memory with higher bandwidth and typically 300W TDP. The 40GB version is ideal for most AI training and inference tasks, while the 80GB model suits extremely large models and memory-intensive HPC applications.

Q: Does this GPU require active cooling or special power connectors?
A: The HX-GPU-A100 features passive cooling and is designed for servers with adequate airflow. It draws 250W and requires PCIe Gen4 x16 slot power plus auxiliary PCIe power connectors. Cisco servers with A100 support include appropriate power supplies and auxiliary power cables as part of the GPU installation kit.