NVIDIA DGX H200: Unleashing Memory-Bound AI Performance
The NVIDIA DGX H200 harnesses the power of NVIDIA H200 Tensor Core GPUs with 141GB HBM3e memory per GPU, providing a total of 1,128GB of high-bandwidth GPU memory. This system is specifically designed for models that exceed traditional GPU memory capacity, enabling larger batches, longer context windows, and reduced model parallelization overhead. The H200 represents the evolution of the Hopper architecture, optimized for the most memory-demanding AI workloads.
Technical Specifications
| Component | Detailed Specification |
|---|---|
| GPU | 8x NVIDIA H200 141GB SXM5 (HBM3e memory) |
| Total GPU Memory | 1,128 GB HBM3e |
| GPU Memory Bandwidth | 4.8 TB/s per GPU |
| CPU | 2x Intel Xeon Platinum 8480C (56 Cores each, 2.0GHz base) |
| System Memory | 2TB DDR5-4800 |
| Storage | 30TB NVMe cache + 2x 1.92TB boot NVMe |
| Network | 8x ConnectX-7 400G InfiniBand |
| Power | 10x 3000W Titanium PSUs |
| Form Factor | 8U DGX chassis |
| Cooling | Liquid-cooled option available |
| Software | NVIDIA AI Enterprise, Base Command Manager |
Memory Advantage
- 141GB HBM3e per GPU – 1.1TB aggregate system memory
- 6.2 TB/s memory bandwidth per GPU for data-intensive workloads
- Handle larger models without sharding – up to 2x larger models than H100
- Reduced multi-GPU communication – lower overhead for model parallelism
- Ideal for Transformer-based architectures with extended context windows
Performance vs H100
- LLM Inference: 1.8x faster than H100
- Training: 1.6x faster for large models
- Memory Capacity: 76% more GPU memory than H100
- Context Window: Up to 2M tokens for transformer models
Ideal Workloads
The DGX H200 excels in massive language models with 100B+ parameters, long-context applications with 50K+ token sequences, generative AI with large batch sizes, memory-bound HPC simulations, graph neural networks on large graphs, and multi-modal models combining vision and language.
Why Choose DGX H200?
When your AI models are memory-bound rather than compute-bound, the DGX H200 delivers transformative performance. The massive HBM3e capacity enables researchers to explore larger models, longer sequences, and more complex architectures without the complexity of heavy parallelization strategies.
Request a Quote
Contact Omnixon Global for competitive pricing on the NVIDIA DGX H200. Our team can help you determine the optimal configuration for your memory-intensive AI workloads.