NVIDIA H100
The NVIDIA H100 is an industry-leading data center GPU (Graphics Processing Unit) specifically architected for artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) workloads. With the unique processing capacity provided by the NVIDIA Hopper architecture, the H100 NVIDIA maximizes corporate efficiency in Large Language Model (LLM) training, Deep Learning, data analytics, and large-scale AI inference processes.
What is the NVIDIA H100?
The NVIDIA H100 is a professional Tensor Core accelerator developed to optimize AI and advanced computing workloads in next-generation data centers. Representing the "Hopper" architecture, named after Grace Hopper, one of the pioneers of computer science, the H100 is the top-tier model in NVIDIA's data center ecosystem. Functioning as an AI engine within data centers, this accelerator processes massive datasets with high parallelism, critically accelerating model training and inference cycles. The NVIDIA H100 is an agile and scalable infrastructure component that meets dynamic industry needs through its technological adaptation capability. Today, H100 accelerators are deployed to increase the processing volume of AI applications and optimize energy efficiency. Preferred by cloud service providers and R&D centers, the H100—thanks to its integrated Transformer Engine and enhanced 4th Generation Tensor Core technology—delivers up to a 30x performance increase in LLM workloads compared to the previous generation A100 architecture. As the most strategic component of the modern AI ecosystem, the H100 is positioned at the center of businesses' digital transformation processes with its data-center-scale computing power.
