NVIDIA H200 141GB SXM5 AI Training GPU
Brand: NVIDIA | Category: GPUs
SKU: NVIDIA-H200-141GB-SXM5-AI-GPU | Part #: SKU-NVIDIA-H200-141GB-SXM5-AI-GPU
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About the NVIDIA H200 141GB SXM5 AI Training GPU
The NVIDIA H200 141GB SXM5 AI Training GPU from NVIDIA is enterprise-grade GPUs hardware built for data centers. It features 141GB HBM3e capacity, SXM5 Module form factor, SXM5 interface. Groundbreaking AI training GPU with 141GB HBM3e memory for large language models and scientific computing. Features next-generation architecture and transformer engine. 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-H200-141GB-SXM5-AI-GPU |
| Part Number | SKU-NVIDIA-H200-141GB-SXM5-AI-GPU |
| Condition | New |
| Capacity | 141GB HBM3e |
| Form Factor | SXM5 Module |
| Interface | SXM5 |
Frequently Asked Questions about NVIDIA H200 141GB SXM5 AI Training GPU
What does the NVIDIA H200 141GB SXM5 AI Training GPU do?
The NVIDIA H200 141GB SXM5 AI Training GPU 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 H200 141GB SXM5 AI Training GPU?
Key specifications for the NVIDIA H200 141GB SXM5 AI Training GPU: capacity 141GB HBM3e; interface SXM5; new condition; product name NVIDIA H200 141GB SXM5 AI Training GPU; brand NVIDIA; category GPUs; memory capacity 141GB HBM3e; interface SXM5; gpu architecture NVIDIA Hopper. Manufacturer part number SKU-NVIDIA-H200-141GB-SXM5-AI-GPU. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA H200 141GB SXM5 AI Training GPU compatible with my infrastructure?
The NVIDIA H200 141GB SXM5 AI Training GPU 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.