NVIDIA DGX Station H100 AI Workstation – 4 x H100 80GB GPUs, 1TB RAM, 30TB NVMe

The NVIDIA DGX Station H100 AI Workstation is a powerful professional AI computing platform designed for AI researchers, machine learning engineers, developers, data scientists, and enterprise R&D teams. It brings high-performance GPU computing to a workstation environment, making it suitable for AI development, experimentation, model training, and inference.

At the core of the system are 4 NVIDIA H100 Tensor Core GPUs, providing substantial accelerated computing performance for demanding AI and deep learning workloads. The multi-GPU architecture enables parallel processing for large models, neural networks, computer vision, generative AI, and other GPU-intensive applications.

The system can be configured with up to 1TB of system memory, providing a large memory pool for complex datasets, AI frameworks, simulations, and enterprise applications. Its high-speed U.2 NVMe storage provides fast access to datasets, AI models, applications, and project files.

Unlike conventional desktop PCs and gaming workstations, the DGX Station H100 is designed specifically for professional AI and accelerated computing workloads.

Key Specifications

• Product: NVIDIA DGX Station H100 AI Workstation
• System Type: Desktop AI Workstation
• Processor: Intel Xeon Processor
• GPU: 4 x NVIDIA H100 Tensor Core GPUs
• System Memory: Up to 1TB RAM
• Storage: Up to 30TB U.2 NVMe Storage
• Primary Use: AI Research, Machine Learning, Deep Learning and LLM Development
• Applications: AI Training, Fine-Tuning, Inference, Data Science and Computer Vision
• Deployment: AI Labs, R&D Centers, Universities, Enterprises and Professional Workstations

Key Benefits

• High-performance multi-GPU AI workstation
• 4 x NVIDIA H100 Tensor Core GPUs
• Up to 1TB system memory
• Up to 30TB high-speed U.2 NVMe storage
• Designed for AI and deep learning workloads
• Suitable for LLM development and experimentation
• Ideal for AI research and R&D environments
• Supports GPU-accelerated computing
• Suitable for professional data science and HPC workloads