Cisco CAI-GPU-H100-NVL | H100 NVL 94GB HBM3 GPU, 400W, PCIe 5.0 x16, Passive

Q: What workloads is the H100 NVL optimized for?
A: The H100 NVL excels at large language model training and inference, generative AI applications like ChatGPT-scale deployments, deep learning, transformer models, and high-performance computing simulations. The 94GB memory capacity enables handling massive model sizes that exceed standard GPU memory configurations.

Q: Can this GPU be used in multi-GPU configurations?
A: Yes, the H100 NVL supports NVLink 4.0 connectivity using three NVLink bridges to connect two cards, providing 600GB/s inter-GPU bandwidth. This enables scaling to multi-GPU clusters for distributed training and inference workloads requiring coordinated processing across multiple accelerators.

Q: What are the server infrastructure requirements?
A: The H100 NVL requires an enterprise server with PCIe Gen5 x16 slots, robust power delivery supporting 400W+ per card, and strong datacenter-grade airflow for passive cooling. Standard workstations typically lack sufficient power and cooling infrastructure. PCIe Gen4 compatibility is maintained but reduces available bandwidth.

Q: How does the H100 NVL differ from standard H100 PCIe cards?
A: The NVL variant features 94GB HBM3 memory compared to 80GB on standard H100 PCIe cards, and delivers 3.9TB/s memory bandwidth versus 2TB/s on standard PCIe variants. This additional memory and bandwidth are specifically optimized for memory-intensive LLM inference where model sizes approach 70B+ parameters in FP16 precision.

Q: What is Multi-Instance GPU capability?
A: MIG allows partitioning the H100 NVL into up to seven isolated GPU instances, each with dedicated compute, memory, and bandwidth resources. This enables multiple users or workloads to securely share a single GPU while maintaining performance isolation and quality of service guarantees.