NVIDIA DGX H800 640GB SXM5 2TB

The NVIDIA DGX H800 is a high-performance AI computing platform engineered for the most demanding AI and high-performance computing (HPC) workloads. Powered by 8x NVIDIA H100 GPUs with SXM5 form factor and NVLink interconnect, this system delivers extraordinary parallel processing power and memory bandwidth—enabling next-generation model training, large-scale inference, and complex data analytics at lightning speed.

With a total of 640GB HBM3 GPU memory and 2TB NVMe local storage, the DGX H800 sets a new standard for enterprise-grade AI infrastructure, designed for researchers, data scientists, and AI innovators.

Key Features:

1. 8x NVIDIA H100 GPUs with SXM5

• • Built on the Hopper architecture, delivering best-in-class performance for training massive AI models and transformer networks.

2. 640GB Unified HBM3 Memory
   • Massive on-GPU memory for running multi-trillion-parameter models.
   • Unmatched bandwidth for high-throughput AI training and real-time inference.

3. Ultra-Fast Interconnect
   • NVLink 4.0 and NVSwitch enable seamless GPU-to-GPU communication for multi-GPU training scalability.
   • PCIe Gen5 for rapid system I/O and workload efficiency.

4. AI-Accelerated Processing
   • 4th Gen Tensor Cores optimized for FP8, FP16, and BF16 workloads.
   • Transformer Engine for LLMs, generative AI, and foundation model acceleration.

Applications:

1. AI & Deep Learning

1. • Train large language models (GPT, BERT, Gemini), generative AI, vision transformers.

2. Enterprise AI Infrastructure

1. • Powering data centers, research labs, and AI supercomputing clusters.

3. Scientific Visualization

1. • Real-time rendering, ray tracing, and immersive digital twins.

Why Choose NVIDIA DGX H800?

1. Enterprise-Class Performance

1. • Built for mission-critical AI training and inference tasks.

2. 640GB HBM3 GPU Memory

1. • Supports the largest models without compromise.

3. Advanced Interconnect

1. • NVLink and NVSwitch architecture for optimal scalability.