Cisco UCSX-GPU-H100-80 | H100 80GB PCIe GPU Accelerator, 350W, Dual-Slot FHFL

Q: What UCS platforms support the UCSX-GPU-H100-80?
A: This GPU accelerator is designed for Cisco UCS X-Series modular systems, specifically the UCS X210c M7 compute nodes and the UCS X440p PCIe node installed in the UCS X9508 chassis. It requires PCIe Gen5 connectivity and proper riser configuration for dual-slot FHFL cards.

Q: What is the difference between the H100 PCIe and SXM variants?
A: The PCIe variant (UCSX-GPU-H100-80) uses HBM2e memory at 2TB/s bandwidth and has a 350W TDP, optimized for single-GPU inference and flexible server integration. The SXM variant uses HBM3 at 3.35TB/s with up to 700W TDP and higher NVLink bandwidth, designed for large-scale multi-GPU training clusters.

Q: Does this GPU support Multi-Instance GPU (MIG) partitioning?
A: Yes, the H100 supports MIG technology, allowing a single GPU to be partitioned into up to 7 isolated instances. Each MIG instance receives dedicated CUDA cores, Tensor Cores, L2 cache, and HBM memory with hardware-enforced isolation, ideal for multi-tenant AI inference workloads.

Q: What AI workloads benefit most from the H100's Transformer Engine?
A: The Transformer Engine with FP8 precision is optimized for large language models and transformer-based architectures, delivering up to 3-4x faster training compared to previous generation GPUs on models like GPT-3, BERT, and Llama. It automatically balances FP8 and FP16 precision to maximize throughput while maintaining model accuracy.

Q: What power and cooling requirements does this GPU have?
A: The UCSX-GPU-H100-80 has a 350W TDP and uses passive cooling, relying on the UCS chassis airflow for thermal management. The UCS X-Series chassis must be configured with adequate power supplies and cooling capacity to support the GPU's power draw and heat dissipation requirements.