# NVIDIA DGX H100
> The NVIDIA DGX H100 is an AI-specific integrated system designed for large-scale AI development and enterprise-grade deep learning. It functions as a building block for AI data centers, combining eight H100 GPUs with high-speed interconnects and a dedicated software stack.
- URL: https://optimly.ai/brand/nvidia-dgx-h100
- Slug: nvidia-dgx-h100
- BAI Score: 94/100
- Archetype: Challenger
- Category: Hardware
- Last Analyzed: April 9, 2026
- Part of: NVIDIA (https://optimly.ai/brand/nvidia)
## Competitors
- Amd Instinct Mi300x (https://optimly.ai/brand/amd-instinct-mi300x)
- Intel Gaudi 3 AI Accelerator (https://optimly.ai/brand/intel-gaudi-3-ai-accelerator)
## Also Referenced By
- Dell PowerEdge XE9680 (https://optimly.ai/brand/dell-poweredge-xe9680)
## Buyer Intent Signals
Problems: Legacy Infrastructure: Utilizing existing on-premise CPU clusters or older GPU generations (A100/V100) for smaller model training. | Custom Server Assembly: Building custom DIY server racks using PCIe versions of H100 cards rather than the integrated DGX appliance.
Solutions: best hardware for LLM training | enterprise AI supercomputer systems | NVIDIA Hopper architecture features | cheapest way to train a 70B parameter model | Public Cloud GPU Instances: Renting H100 capacity through cloud providers like AWS, Azure, or Google Cloud (GCP).
Comparisons: H100 specs vs A100 | DGX system vs cloud GPU performance