Cisco UCSX-GPU-H100-NVL | H100 NVL PCIe Accelerator, 94GB HBM3, 400W, 2-Slot

Q: What workloads is the H100 NVL optimized for?
A: The H100 NVL is engineered for large language model (LLM) inference and training, generative AI, deep learning, and HPC simulations. The 94GB memory capacity allows deployment of massive transformer models like GPT-class networks, while the 3.9TB/s bandwidth accelerates memory-bound inference tasks.

Q: How does the H100 NVL differ from standard H100 PCIe models?
A: The NVL variant features 94GB of HBM3 memory versus 80GB in standard H100 PCIe models, and delivers nearly 4TB/s memory bandwidth—roughly double the standard PCIe version. This makes it ideal for larger models that require maximum memory capacity and bandwidth for inference workloads.

Q: Can multiple H100 NVL cards be linked together?
A: Yes, the H100 NVL supports NVLink connectivity for multi-GPU configurations. NVLink bridges enable high-bandwidth GPU-to-GPU communication, allowing enterprises to scale AI workloads across multiple accelerators in a single server.

Q: What are the power and cooling requirements?
A: The card operates at 400W TDP and uses passive cooling, requiring robust server-grade airflow. It connects via PCIe 16-pin power connector (supporting 450W or 600W modes) and is designed for enterprise rack servers with adequate power delivery and thermal management, such as Cisco UCS X-Series platforms.

Q: Does this GPU support virtualization?
A: Yes, the H100 NVL supports Multi-Instance GPU (MIG) technology, allowing partitioning into up to seven independent instances for multi-tenant workloads. It also supports NVIDIA vGPU software (version 16.1 or later) and NVIDIA AI Enterprise on VMware environments.