NVIDIA DGX H100 AI Supercomputer System
Brand: NVIDIA | Category: GPUs
SKU: NVIDIA-DGX-H100
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About the NVIDIA DGX H100 AI Supercomputer System
The NVIDIA DGX H100 AI Supercomputer System from NVIDIA is enterprise-grade GPUs hardware built for data centers. It features 80GB capacity. NVIDIA DGX H100 — The AI Factory SupercomputerThe NVIDIA DGX H100 is a purpose-built AI supercomputer containing 8x H100 SXM5 GPUs interconnected via NVSwitch, delivering 32 petaFLOPS of AI performance. The gold standard for enterprise AI training, fine-tuning, and inference of the largest language models.8x NVIDIA H100 80GB SXM5 GPUs640GB total GPU memory32 petaFLOPS FP8 performanceNVSwitch inter... Available in brand new condition. NVIDIA gpus products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
Technical Specifications
| Brand | NVIDIA |
| Category | GPUs |
| SKU | NVIDIA-DGX-H100 |
| Condition | New |
| Capacity | 80GB |
Frequently Asked Questions about NVIDIA DGX H100 AI Supercomputer System
What does the NVIDIA DGX H100 AI Supercomputer System do?
The NVIDIA DGX H100 AI Supercomputer System accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
What are the headline specs of the NVIDIA DGX H100 AI Supercomputer System?
Key specifications for the NVIDIA DGX H100 AI Supercomputer System: new condition; brand NVIDIA; series DGX; model DGX H100; gpus 8x H100 80GB SXM5; total gpu memory 640GB HBM3; ai performance 32 PFLOPS (FP8). Manufacturer part number NVIDIA-DGX-H100. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA DGX H100 AI Supercomputer System compatible with my infrastructure?
The NVIDIA DGX H100 AI Supercomputer System requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.