What can an NVIDIA H100 GPU do?

May 16, 2023

By Athanasios Koutsouridis, Marketing Manager

At One Stop Systems Inc. (OSS), we are proud to offer high-performance solutions that help our clients tackle the most demanding computing workloads. That's why we are excited to talk about the NVIDIA H100 Tensor Core GPU, an incredibly powerful GPU designed to deliver exceptional performance for a wide range of use cases.

The H100 is built on the cutting-edge NVIDIA Hopper GPU architecture, making it an ideal choice for applications that require lightning-fast compute power. With fourth-generation Tensor Cores, the H100 delivers up to 5x faster AI training and 30x faster AI inference speedups on large language models compared to the previous A100 generation, making it one of the most advanced GPUs on the market, and a perfect match for our PCIe expansions and GPU servers.

In this blog post, OSS will delve into the H100's architecture and hierarchy, and explore some of the exciting use cases that this GPU is ideal for. Whether you are working with complex AI models, or require high-performance computing for scientific research, the H100 GPU is a game-changing solution that will help you achieve your goals faster and more efficiently than ever before.

The H100 GPU Hierarchy and Architecture

The rapid advancements in GPU compute architecture have brought about a significant evolution in NVIDIA's latest H100 GPU hierarchy. While the CUDA programming model has relied on grids and thread blocks to achieve program locality for years, the conventional thread block approach has become inadequate with the growing complexity of programs and the emergence of GPUs with over 100 streaming multiprocessors (SMs).

To tackle this issue, NVIDIA has introduced an innovative Thread Block Cluster architecture with the H100 GPU. This architecture provides a greater degree of control over locality, allowing for larger granularity than a single thread block on a single SM. With Thread Block Clusters, the CUDA programming model has expanded to a new level, adding threads, thread blocks, thread block clusters, and grids to the GPU's physical programming hierarchy.

So, what exactly is a thread block cluster? Simply put, it is a collection of thread blocks that are scheduled concurrently onto a group of SMs. This new architecture aims to facilitate effective cooperation of threads across multiple SMs, leading to improved performance and execution efficiency.

The NVIDIA H100 GPU boasts numerous innovations, which makes it a powerhouse for OSS’ fields of AI Transportables and high-performance computing. Based on the new Hopper GPU architecture, the H100 is packed with cutting-edge features that make it more powerful, more efficient, and more programmable than any GPU that has come before it.

One of the most significant advancements in the H100 is its fourth-generation Tensor Cores, which perform matrix computations faster and more efficiently than ever before. This allows the H100 to handle a broader range of AI and HPC tasks with ease, making it an ideal choice for our clients who demand the best performance from their GPU.

H100 Use Cases

The NVIDIA H100 is designed for high-performance computing workloads, and it is suitable for a wide range of use cases. Some of OSS’ most common client use cases for the H100 include:

• Deep Learning: The NVIDIA H100 is an excellent choice for deep learning applications, thanks to its powerful Tensor Cores. The GPU can handle large datasets and perform complex computations required for training deep neural networks.
• High-Performance Computing: The H100 is also suitable for high-performance computing workloads, such as scientific simulations, weather forecasting, and financial modeling with its high memory bandwidth and powerful processing capabilities.
• AI Inference: The NVIDIA H100 can also be used for AI inference workloads, such as image and speech recognition. The GPU's powerful Tensor Cores enable it to process large amounts of data quickly, making it an excellent choice for real-time inference applications.
• Computer Vision: The H100 can also be used for computer vision applications, such as object detection and image segmentation. The GPU's Tensor Cores enable it to process large amounts of image data quickly.
• Computational Biology: The H100 is also useful for computational biology applications, such as genome sequencing and protein folding simulations. The GPU's powerful DPX instruction processing capabilities and high memory bandwidth make it well-suited for these types of applications.
  
  

Conclusion

At One Stop Systems Inc., we are constantly expanding our portfolio of high-performance GPU servers and PCIe expansions to provide our clients with the most advanced computing solutions available. We are proud to include the NVIDIA H100 in our line-up, as it represents a significant step forward in GPU technology.

The H100 is a high-end GPU that boasts numerous innovations, making it an ideal choice for our customers’ applications. With its advanced architecture and fourth-generation Tensor Cores, the H100 is one of the most powerful, programmable, and power-efficient GPUs to date, enabling users and applications to fully utilize all of their H100 GPUs' units at all times.

We believe that the H100 is an excellent choice for organizations that require high-performance computing capabilities. Its processing power and memory bandwidth make it ideal for handling the most demanding workloads, and its ability to deliver lightning-fast AI training and inference speedups on large language models make it a game-changing solution for organizations working with complex AI models.

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