NVIDIA HGX B200 8-GPU Baseboard (920-23686-2530-000)
Brand: NVIDIA | Category: GPUs
SKU: NVIDIA-920-23686-2530-000 | Part #: 920-23686-2530-000 | MPN: 920-23686-2530-000
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About the NVIDIA HGX B200 8-GPU Baseboard (920-23686-2530-000)
The NVIDIA HGX B200 8-GPU Baseboard (920-23686-2530-000) from NVIDIA is enterprise-grade GPUs hardware built for data centers. It features SXM5 form factor, NVLink 5.0 interface. The NVIDIA HGX B200 8-GPU Baseboard (MPN: 920-23686-2530-000) is a high-density multi-GPU baseboard solution built around eight NVIDIA Blackwell B200 GPUs, interconnected via fifth-generation NVLink to form a unified, high-bandwidth compute fabric. Each B200 GPU is manufactured on TSMC's 4NP process node and integrates 192 GB of HBM3e memory per GPU, delivering 1.4 TB of aggregate HBM3e capacity across the full baseboard. The NVLink interconnect provides 1.8 TB/s of bidirecti 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-920-23686-2530-000 |
| Part Number | 920-23686-2530-000 |
| Condition | New |
| Form Factor | SXM5 |
| Interface | NVLink 5.0 |
| Manufacturer Part Number | 920-23686-2530-000 |
| Product Name | NVIDIA HGX B200 8-GPU Baseboard |
| GPU Architecture | NVIDIA Blackwell |
| GPU Model per Slot | NVIDIA B200 |
| Number of GPUs | 8 |
| GPU Memory per GPU | 192 GB HBM3e |
| Total Aggregate GPU Memory | 1.4 TB HBM3e |
| Memory Bandwidth per GPU | 8 TB/s |
| GPU Interconnect | NVLink 5th Generation |
| NVLink Bidirectional Bandwidth | 1.8 TB/s (GPU-to-GPU, aggregate across baseboard) |
| FP4 Tensor Core Performance (per GPU) | Up to 20 petaFLOPS |
| FP8 Tensor Core Performance (per GPU) | Up to 9 petaFLOPS |
| Supported Precisions | FP4, FP6, FP8, FP16, BF16, TF32, FP64 |
| Transformer Engine Generation | 2nd Generation |
| Form Factor | HGX baseboard (OEM server integration) |
| Process Node | TSMC 4NP |
| Networking Compatibility | NVIDIA Quantum-X800 InfiniBand, NVIDIA Spectrum-X800 Ethernet |
| Software Stack | CUDA, cuDNN, TensorRT, NVIDIA AI Enterprise |
| Multi-Node Scaling | Supported via NVLink Switch for multi-node NVLink domains |
| Target Deployment | Enterprise data center, AI training clusters, HPC environments |
Frequently Asked Questions about NVIDIA HGX B200 8-GPU Baseboard (920-23686-2530-000)
What does the NVIDIA HGX B200 8-GPU Baseboard do?
The NVIDIA HGX B200 8-GPU Baseboard 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 HGX B200 8-GPU Baseboard?
Key specifications for the NVIDIA HGX B200 8-GPU Baseboard: form factor SXM5; interface NVLink 5.0; 3 years support; new condition; support 3 years standard (manufacturer); raid support H100; gpu support NVIDIA B200; gpu count 8x; ai optimized Yes. Manufacturer part number 920-23686-2530-000. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the NVIDIA HGX B200 8-GPU Baseboard compatible with my infrastructure?
The NVIDIA HGX B200 8-GPU Baseboard 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.