Cisco HCIX-GPU-H100-80 | NVIDIA H100 80GB Graphics Card, PCIe 5.0, 350W TDP

Q: What workloads is the NVIDIA H100 80GB GPU optimized for?
A: The H100 is designed for large-scale AI training and inference, including large language models up to hundreds of billions of parameters, deep learning, generative AI, high-performance computing simulations, and data analytics. The 80GB HBM2e memory capacity supports complex models and large batch sizes for production workloads.

Q: What is the difference between the PCIe H100 and SXM H100?
A: The PCIe H100 uses HBM2e memory with 2TB/s bandwidth, draws 350W, and fits standard servers with PCIe 5.0 slots without NVLink support. The SXM H100 uses faster HBM3 memory at 3.35TB/s bandwidth, draws up to 700W, and supports NVLink 4.0 for multi-GPU training at scale. The PCIe variant is ideal for inference and single-GPU workloads in standard data center infrastructure.

Q: Does the H100 support Multi-Instance GPU (MIG) partitioning?
A: Yes, the H100 supports MIG, allowing a single GPU to be partitioned into up to 7 fully isolated GPU instances. Each MIG instance receives a dedicated slice of CUDA cores, Tensor Cores, L2 cache, and HBM memory with hardware-enforced isolation, enabling multi-tenant inference or independent containerized workloads on a single physical GPU.

Q: What precision formats does the H100 Transformer Engine support?
A: The H100 features fourth-generation Tensor Cores that support FP64, FP32, TF32, FP16, INT8, and FP8 precision. The dedicated Transformer Engine automatically selects between FP8 and FP16 precision on a per-operation basis during training, delivering up to 4x faster training performance for transformer-based models compared to the previous generation without manual tuning.

Q: What server platforms are compatible with the HCIX-GPU-H100-80?
A: This GPU is designed for Cisco UCS C-Series and X-Series rack servers that support PCIe 5.0 x16 slots and provide adequate power delivery and cooling for 350W TDP accelerators. The dual-slot full-height full-length form factor requires standard server chassis with appropriate PCIe slot spacing and airflow.