Cisco UCSC-GPUA100-80-D | A100 80GB HBM2e Graphics Card, 300W Passive, PCIe 4.0

Q: Which Cisco UCS servers are compatible with the UCSC-GPUA100-80-D?
A: This GPU is designed for Cisco UCS C-Series rack servers such as the C240 M7 and UCS X-Series servers. It requires PCIe 4.0 x16 slots and is typically installed in riser slots 2, 5, or 7 depending on server configuration. Each compatible server can support up to three of these GPUs, and all A100 cards must be procured from Cisco as they require a unique SBIOS ID for CIMC and UCSM compatibility.

Q: What is Multi-Instance GPU (MIG) and how does it benefit data center deployments?
A: MIG technology allows the A100 80GB to be partitioned into up to seven isolated GPU instances, each with 10GB of dedicated HBM2e memory, dedicated memory bandwidth, cache, and compute resources. This enables multiple workloads to run simultaneously on a single GPU with guaranteed QoS, improving utilization and flexibility for diverse AI inference, training, and HPC tasks in multi-tenant or containerized environments.

Q: How does the passive cooling design work for this GPU?
A: The UCSC-GPUA100-80-D uses passive cooling without onboard fans, relying on the server's airflow and cooling infrastructure to dissipate heat from the 300W TDP. This design is optimized for data center rack-mount servers with controlled airflow and requires proper server ventilation to maintain operating temperatures. Passive cooling also reduces noise and component failure points compared to active fan-based designs.

Q: What types of workloads benefit most from the A100's 80GB memory capacity?
A: The 80GB HBM2e memory configuration is ideal for large-scale AI model training (including language models up to 30B parameters), deep learning inference with large batch sizes, high-performance computing simulations, data analytics on massive datasets, and scientific computing requiring extensive memory footprint. The high memory bandwidth of 1,935 GB/s ensures efficient data transfer for memory-intensive operations.

Q: Does this GPU require special driver or software considerations?
A: The Cisco A100 GPU requires NVIDIA data center GPU drivers compatible with your operating system and CUDA toolkit. It integrates with NVIDIA's AI and HPC software ecosystem including CUDA, cuDNN, TensorRT, RAPIDS, and NGC containers. The card requires proper configuration within Cisco UCS Manager or CIMC for detection and management, and benefits from optimized frameworks like PyTorch, TensorFlow, and MXNet for AI workloads.