NVIDIA’s H100 GPU is the latest addition to its data center GPU lineup, designed to deliver exceptional performance and cutting-edge technology for artificial intelligence (AI) and high-performance computing (HPC). Below is an in-depth exploration of the H100 GPU’s key features and capabilities.

Unprecedented Performance Advancements

Built on the NVIDIA Hopper™ architecture, the H100 GPU integrates an astonishing 80 billion transistors and leverages TSMC’s 4N process, specifically optimized for accelerated computing. Compared to its predecessor, the H100 delivers a 30x speed boost for large language models (LLMs). Equipped with 4th-generation Tensor Cores and Transformer Engine with FP8 precision, it dramatically accelerates training and inference processes, offering up to 9x faster training and 30x faster inference speeds.

Tailored for Large-Scale AI and Scientific Computing

The H100 GPU is optimized for handling large-scale AI tasks and HPC workloads. Its FP64 performance is tripled, and the inclusion of dynamic programming (DPX) instructions enables up to 7x faster performance for certain computational tasks. This makes it an indispensable tool for training complex AI models and conducting scientific simulations with unparalleled efficiency.

Superior Connectivity and Communication Capabilities

The H100 GPU introduces the NVLink® Switch System, enabling seamless connectivity for up to 256 GPUs within a single cluster. Compared to the previous generation, this system offers a 9x increase in bandwidth, making it ideal for managing Exascale workloads. This advanced communication capability ensures scalability and efficiency for the most demanding computational tasks.

Enhanced Data Security and Confidential Computing

The NVIDIA Hopper architecture integrates confidential computing capabilities directly into the H100 GPU, making it the first accelerator to support this feature. This ensures that users can safeguard sensitive data and maintain the integrity of their applications while leveraging the GPU’s high-performance capabilities.

Real-World Applications

Inflection AI: Deployed 22,000 H100 GPUs to build a supercomputer cluster, boosting the speed and capacity of its products.

Meta: Plans to acquire 350,000 H100 GPUs by the end of 2024 to support its open-source Artificial General Intelligence (AGI) initiative.

Outstanding Market Performance

In the MLPerf Training v3.0 benchmark, the H100 GPU shattered multiple records, emerging as the only platform capable of completing all eight tests. For instance, it trained a GPT-3 model in just 10.94 minutes and reduced the time required to train a BERT-Large model to an impressive 0.13 minutes.

Conclusion

With its groundbreaking performance and advanced features, the NVIDIA H100 GPU is revolutionizing the AI and HPC landscape. As technology continues to evolve, the H100 is poised to become a preferred choice for enterprises and research institutions, empowering innovation across industries. For more information about AI computing devices, consult with Ogcloud for tailored solutions.