GPU Computing Coming Soon!
Cloud computing is changing rapidly, and the NVIDIA H100 GPU is a significant development in this field. It offers exceptional processing power that can be used for AI, deep learning, and high-performance computing tasks. This guide explains how businesses and IT professionals can best use the NVIDIA H100 GPU to revolutionize their cloud computing infrastructure. We will cover everything from setting it up and configuring it, to optimizing workloads and reducing operational costs. By following the practical steps outlined in this guide, you’ll be able to harness the full potential of this cutting-edge technology and ensure that your projects run more efficiently than ever before.
Use Cases
- Generative AI
- Deep Learning
- Large Language Models
- AI inference
- Graphics and Visualization
- Parallel Processing
Benefits of our services
- No Hidden Charges
- Global Availability
- Best Price-Performance Ratio
- Security at Our Core
The H100 GPU includes a Transformer Engine to solve trillion-parameter language models. The technological innovations can speed up Large Language Models by over 30 times as compared to the previous generation resulting in the delivery of Conversational AI that far exceeds even the best of industry standards. NVIDIA H100 also comes with an NVIDIA AI Enterprise five-year software subscription and includes enterprise support, which simplifies AI adoption with the highest performance. This makes sure that organizations have access to the AI frameworks and tools needed to build H100 accelerated AI workflows such as conversational AI, recommendation engines, vision AI, and more.
Why Choose NVIDIA H100 GPU?
Transformer Engine
The Transformer Engine uses software and Hopper Tensor Core technology designed to accelerate training for models built from the transformer. Hopper Tensor Cores can apply mixed FP8 and FP16 precisions, resulting in significantly accelerated AI calculations for transformers.
NVLink Switch System
he NVLink Switch System enables rapid scaling of multi-GPU input/output (IO) across numerous servers, achieving impressive speeds of up to 900 GB per second. This cutting-edge system supports clusters of up to 256 H100s, providing a remarkable 9 times higher bandwidth compared to InfiniBand HDR on the NVIDIA Ampere architecture.
NVIDIA Confidential Computing
NVIDIA H100 comes with a built-in security feature of Confidential Computing. Users can protect the integrity and confidentiality of their data and application in use while accessing the accelerations of H100 GPUs.
DPX Instructions
Hopper’s DPX instructions accelerate dynamic programming algorithms by around seven times as compared to NVIDIA Ampere architecture GPUs. This leads to significantly faster times in disease diagnosis, real-time routing optimizations, and graph analytics.