NVIDIA A100 80GB SXM4 Tensor Core GPU
Brand: NVIDIA | Category: GPUs
SKU: 900-21001-0020-000
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About the NVIDIA A100 80GB SXM4 Tensor Core GPU
The NVIDIA A100 80GB SXM4 Tensor Core GPU from NVIDIA is enterprise-grade GPUs hardware built for data centers. It features 80GB capacity, SXM4 form factor. NVIDIA A100 80GB SXM4 — Proven AI WorkhorseThe NVIDIA A100 80GB SXM4 is the proven workhorse for AI training and HPC workloads. Built on Ampere architecture with 80GB HBM2e and 2TB/s bandwidth. Widely deployed in data centers worldwide, it offers excellent price-to-performance for AI training.80GB HBM2e with 2TB/s bandwidthAmpere architecture — 54 billion transistorsThird-generation Tensor CoresMu... 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 | 900-21001-0020-000 |
| Condition | New |
| Capacity | 80GB |
| Form Factor | SXM4 |
Frequently Asked Questions about NVIDIA A100 80GB SXM4 Tensor Core GPU
What does the NVIDIA A100 80GB SXM4 Tensor Core GPU do?
The NVIDIA A100 80GB SXM4 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 A100 80GB SXM4 Tensor Core GPU?
Key specifications for the NVIDIA A100 80GB SXM4 Tensor Core GPU: new condition; brand NVIDIA; architecture Ampere; model A100 SXM4; memory 80GB HBM2e; memory bandwidth 2 TB/s; fp16 performance 312 TFLOPS. Manufacturer part number 900-21001-0020-000. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA A100 80GB SXM4 Tensor Core GPU compatible with my infrastructure?
The NVIDIA A100 80GB SXM4 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.