# NVIDIA H100

> series of NVIDIA graphics cards with Hopper architecture for data centers, enterprises and research institutions

**Wikidata**: [Q125348558](https://www.wikidata.org/wiki/Q125348558)  
**Source**: https://4ort.xyz/entity/nvidia-h100

## Summary
The NVIDIA H100 is a series of graphics cards based on the Hopper architecture, designed for data centers, enterprises, and research institutions. Developed by NVIDIA, it serves as a high-performance computing solution for advanced workloads like AI and scientific research. It is part of NVIDIA's lineup of specialized hardware for accelerated computing.

## Key Facts
- **Manufacturer**: NVIDIA
- **Architecture**: Hopper
- **Target Users**: Data centers, enterprises, and research institutions
- **Model Variants**: Includes the NVIDIA H100 SXM
- **Instance Of**: Graphics card model series
- **Official Page**: [NVIDIA H100 product page](https://www.nvidia.com/en-us/data-center/h100/) (in English)
- **Aliases**: NVIDIA H100 Tensor Core GPU, H100

## FAQs
### Q: What is the NVIDIA H100 used for?
A: The H100 is designed for high-performance computing tasks in data centers, enterprises, and research institutions, particularly for AI, machine learning, and scientific simulations.

### Q: What architecture does the NVIDIA H100 use?
A: It is based on NVIDIA’s Hopper architecture, which delivers advancements in performance and efficiency for complex workloads.

### Q: Is the H100 available in different form factors?
A: Yes, one notable variant is the NVIDIA H100 SXM, optimized for specific high-performance computing environments.

## Why It Matters
The NVIDIA H100 represents a significant advancement in specialized computing hardware, tailored to meet the demanding requirements of modern AI, data analytics, and scientific research. By leveraging the Hopper architecture, it provides substantial improvements in processing power and energy efficiency, enabling faster training of large-scale AI models and accelerated time-to-insight for researchers and organizations. This technology plays a critical role in driving innovation across industries, from healthcare and climate modeling to autonomous systems and digital transformation, by addressing the computational challenges of complex workloads.

## Notable For
- **Hopper Architecture**: First to utilize NVIDIA’s Hopper GPU architecture, introducing architectural enhancements for AI and high-performance computing (HPC).
- **Specialized Design**: Optimized for data center environments and large-scale research applications, differentiating it from consumer-grade GPUs.
- **Model Variants**: Includes the H100 SXM, a form factor designed for scalable, high-density computing deployments.

## Body
### Architecture & Design
The NVIDIA H100 is built on the **Hopper architecture**, NVIDIA’s fourth-generation Tensor Core platform. This architecture introduces improvements in tensor processing, ray tracing, and memory bandwidth, critical for demanding AI and HPC workloads.

### Target Applications
- **AI and Machine Learning**: Accelerates training and inference for large language models and generative AI.
- **Scientific Research**: Supports simulations in fields like climate science, molecular dynamics, and material discovery.
- **Enterprise Computing**: Optimized for data analytics, virtualization, and cloud-based services.

### Key Specifications
- **Form Factors**: Available in configurations such as the **H100 SXM**, designed for integration into high-performance computing clusters.
- **Software Compatibility**: Works with NVIDIA’s software stack, including CUDA, cuDNN, and NVIDIA AI Enterprise.

### Manufacturer & Context
Developed by **NVIDIA**, a leader in the semiconductor industry with headquarters in Santa Clara, California. The H100 aligns with NVIDIA’s focus on accelerated computing solutions for specialized markets, distinct from consumer-oriented graphics products.