# NVIDIA H100/A100 GPUs

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed August 9, 2026.

> NVIDIA H100 and A100 are enterprise-grade graphics processing units (GPUs) built on the Hopper and Ampere architectures, respectively. They are designed for data center-scale AI training, inference, and high-performance computing (HPC) workloads.

- Business Profile: https://optimly.ai/brand/nvidia-h100-a100-gpus
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://nvidia.com/
- Logo: https://logo.clearbit.com/nvidia.com
- Slug: nvidia-h100-a100-gpus
- Brand Authority Index tier: Leader
- Archetype: Challenger
- Category: Computing Hardware
- Last Analyzed: August 9, 2026

## Buyer Intent Signals
Problems: Legacy Hardware / Consumer GPUs: Using older generation Pascal or Turing architecture cards or lower-tier consumer GPUs and accepting significantly longer training times. | CPU-based Inference/Training: Attempting to run smaller models on high-performance CPU clusters with large memory pools (e.g., Intel Xeon Sapphire Rapids).
Solutions: best gpu for training llm | enterprise ai hardware | gpu for generative ai server | nvidia hopper architecture overview | Cloud GPU Rental (AWS/Azure/GCP): Purchasing time on cloud-based GPU clusters from providers like AWS (EC2 P4d/P5 instances), Azure, or Google Cloud Platform.
Comparisons: h100 vs a100 benchmarks