NVIDIA B200 SXM Tensor Core GPU
Brand: NVIDIA | Category: GPUs
SKU: B200-SXM-180GB | Part #: B200-SXM-180GB | MPN: B200-SXM-180GB
Contact for Pricing — Request a Quote
About the NVIDIA B200 SXM Tensor Core GPU
The NVIDIA B200 SXM Tensor Core GPU is an enterprise-grade gpus from NVIDIA. NVIDIA B200 SXM Tensor Core GPU — premium NVIDIA gpu for enterprise IT, datacenter, and AI workloads. Available now from Omnixon Global with worldwide shipping and Dubai-based fulfillment for UAE, GCC, EMEA, and APAC buyers. Available in brand new condition. NVIDIA gpus products are trusted by enterprises and data centers across the Middle East and globally. Available from Omnixon Global with worldwide delivery to the UAE, Saudi Arabia, Qatar, Kuwait, Oman, and Bahrain. Contact our sales team for competitive pricing and bulk order quotes.
Technical Specifications
| Brand | NVIDIA |
| Category | GPUs |
| SKU | B200-SXM-180GB |
| Part Number | B200-SXM-180GB |
| Condition | New |
Frequently Asked Questions about NVIDIA B200 SXM Tensor Core GPU
What does the NVIDIA B200 SXM Tensor Core GPU do?
The NVIDIA B200 SXM 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 B200 SXM Tensor Core GPU?
Key specifications for the NVIDIA B200 SXM Tensor Core GPU: new condition; raid support H100; gpu support NVIDIA B200; ai optimized Yes. Manufacturer part number B200-SXM-180GB. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA B200 SXM Tensor Core GPU compatible with my infrastructure?
The NVIDIA B200 SXM 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.