NVIDIA H100 80GB SXM5 Tensor Core GPU
Brand: NVIDIA | Category: GPUs
SKU: 900-21010-0000-000
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About the NVIDIA H100 80GB SXM5 Tensor Core GPU
The NVIDIA H100 80GB SXM5 Tensor Core GPU from NVIDIA is enterprise-grade GPUs hardware built for data centers. It features 80GB capacity, SXM5 form factor, PCIe Gen5 interface. NVIDIA H100 80GB SXM5 — The Gold Standard for AI TrainingThe NVIDIA H100 80GB SXM5 is the world's most powerful data center GPU for AI training and inference. Built on the Hopper architecture with 80GB HBM3 memory and 3.35TB/s bandwidth, the H100 delivers up to 9x faster AI training than the A100. Features Transformer Engine for accelerating large language models and fourth-generation NVLink for m... 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 | 900-21010-0000-000 |
| Condition | New |
| Capacity | 80GB |
| Form Factor | SXM5 |
| Interface | PCIe Gen5 |
Frequently Asked Questions about NVIDIA H100 80GB SXM5 Tensor Core GPU
What does the NVIDIA H100 80GB SXM5 Tensor Core GPU do?
The NVIDIA H100 80GB SXM5 Tensor Core 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 H100 80GB SXM5 Tensor Core GPU?
Key specifications for the NVIDIA H100 80GB SXM5 Tensor Core GPU: new condition; brand NVIDIA; architecture Hopper; model H100 SXM5; memory 80GB HBM3; memory bandwidth 3.35 TB/s; fp8 performance 3,958 TFLOPS. Manufacturer part number 900-21010-0000-000. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA H100 80GB SXM5 Tensor Core GPU compatible with my infrastructure?
The NVIDIA H100 80GB SXM5 Tensor Core 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.