What is an NVIDIA H100?
Updated on August 4, 2025
NVIDIA GPUs (Graphics Processing Units) are powerful machines capable of performing numerous computations in parallel across hundreds to thousands of discrete computing cores. With the release of The Hopper microarchitecture last year, the NVIDIA H100 is among the most powerful, single computers ever made available to consumers, greatly outperforming the predecessor Ampere machines. With each microarchitecture, a term for the instruction set architecture of the processor, release, NVIDIA has introduced a substantial improvement in VRAM capacity, CUDA cores, and bandwidth over the previous generation. While the powerful Ampere GPUs, notably the A100, ushered in the AI revolution over the past 2 years; we have seen Hopper GPUs take this development rate to unprecedented levels of growth.
In this article, we will discuss and preview some of the incredible advancements in the latest and greatest Data Center GPU from Nvidia: the Hopper series H100.
Key takeaways:
- The NVIDIA H100 is a cutting-edge data center GPU based on the Hopper architecture, designed for AI and high-performance computing, and it delivers unprecedented compute power with innovations like 4th-generation Tensor Cores and a specialized Transformer Engine to accelerate large language model training.
- With up to 80 GB of ultra-fast HBM3 memory and support for new data types (such as FP8 along with FP16/FP32 precision), the H100 significantly increases memory bandwidth and computational throughput over its predecessor (the A100), enabling faster training and inference for very large neural networks.
- The H100 also introduces enhanced connectivity and efficiency features—such as higher-bandwidth NVLink for multi-GPU scaling and improved Multi-Instance GPU (MIG) capabilities to partition the GPU into smaller independent instances—making it a versatile solution that can handle both massive workloads and multitasking scenarios in enterprise AI deployments.
- As one of the most powerful GPUs available, NVIDIA H100 is used for cutting-edge applications like training state-of-the-art language models, running complex scientific simulations, and powering advanced cloud AI services, where its advanced hardware dramatically reduces time-to-results compared to previous generations.
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