H100 PCIe

OVERVIEW

The NVIDIA H100 PCIe is a high-performance GPU designed for data centers, targeting AI, machine learning, and high-performance computing workloads. It is part of the Hopper architecture, offering significant improvements in performance and efficiency over its predecessors. The H100 PCIe variant is optimized for PCIe-based systems, providing flexibility in deployment across a wide range of server configurations.

SPECIFICATIONS

WHAT THIS GPU IS GOOD AT

The H100 PCIe excels at AI training and inference, offering substantial performance gains in deep learning workloads due to its advanced tensor cores and high memory bandwidth. It is also well-suited for scientific simulations and data analytics, providing a versatile solution for complex computational tasks.

SERVER OPTIONS

The NVIDIA H100 PCIe is available in a variety of server platforms, including NVIDIA's own DGX systems and OEM servers from vendors like Dell PowerEdge, HPE ProLiant, and Supermicro. It is also offered in cloud instances such as AWS p5, Azure ND, and Google Cloud A3, providing scalable options for enterprises looking to leverage its capabilities in the cloud.

POWER, THERMALS & NOISE

The H100 PCIe has a TDP of around 350 watts, necessitating robust cooling solutions, typically air-cooled in data center environments. It is designed to maintain optimal thermal performance under heavy workloads, though noise levels can vary depending on the specific server configuration and cooling setup.

COMPATIBILITY & SYSTEM FIT

This GPU supports PCIe Gen 5, ensuring high data transfer rates and compatibility with modern server architectures. It is available in a standard PCIe form factor, making it easy to integrate into existing systems. NVLink support is not available in the PCIe variant, which may limit multi-GPU communication compared to the SXM version.

LIMITATIONS & KNOWN TRADE-OFFS

While the H100 PCIe offers excellent performance, it lacks NVLink support, which can be a limitation for applications requiring high-speed inter-GPU communication. Additionally, its high power consumption may necessitate upgrades to power delivery systems in some data centers. Availability can be constrained due to high demand and production limitations.

PRICING