H100 NVL1

OVERVIEW

The NVIDIA H100 NVL1 is a high-performance GPU designed for data centers, targeting AI training and inference workloads. It is part of the Hopper architecture, offering significant improvements in performance and efficiency over its predecessors. The H100 NVL1 is optimized for large-scale AI models and high-performance computing tasks, making it a top choice for enterprises and research institutions.

SPECIFICATIONS

WHAT THIS GPU IS GOOD AT

The H100 NVL1 excels at AI training and inference, particularly for large language models and complex neural networks. Its advanced architecture and high memory bandwidth provide significant performance advantages in deep learning and scientific computing tasks, making it a preferred choice for demanding workloads.

SERVER OPTIONS

The NVIDIA H100 NVL1 is available in leading server platforms such as NVIDIA DGX systems and OEM servers from Dell, HPE, and Supermicro. It is also offered in cloud instances like AWS p5, Azure ND, and GCP A3, providing flexible deployment options for various data center environments.

POWER, THERMALS & NOISE

The H100 NVL1 has a high TDP, necessitating robust cooling solutions, typically liquid cooling in data center environments. It is designed to maintain optimal thermal performance under heavy workloads, though noise levels are generally not a concern in server deployments.

COMPATIBILITY & SYSTEM FIT

The H100 NVL1 supports PCIe Gen 5 and NVLink, allowing for high-speed interconnects between GPUs. It is available in both SXM and PCIe form factors, providing flexibility in deployment. Adequate power supply and compatible motherboards are essential for optimal performance.

LIMITATIONS & KNOWN TRADE-OFFS

While the H100 NVL1 offers exceptional performance, it comes with a high power requirement and cost, which may be a consideration for some organizations. Availability can be limited due to high demand, and its advanced features may require specific software optimizations to fully leverage its capabilities.

PRICING