NVIDIA HGX B200 8-GPU Baseboard (HGX-B200-8GPU)
Brand: NVIDIA | Category: GPUs
SKU: HGX-B200-8GPU | Part #: HGX-B200-8GPU | MPN: HGX-B200-8GPU
Contact for Pricing — Request a Quote
About the NVIDIA HGX B200 8-GPU Baseboard (HGX-B200-8GPU)
The NVIDIA HGX B200 8-GPU Baseboard (HGX-B200-8GPU) delivers 1536 GB of HBM3e memory across eight B200 GPUs, providing the ultra-high-bandwidth memory architecture required for demanding enterprise workloads. Each B200 GPU is equipped with 192 GB HBM3e, ensuring that large language models, inference pipelines, and high-performance computing applications can access vast datasets with minimal latency. This baseboard form factor integrates seamlessly into enterprise GPU clusters and datacentre infrastructure, making it the foundation for organisations building next-generation AI and HPC systems.
Enterprise AI infrastructure teams, HPC architects, and large-scale ML operations teams select the HGX-B200-8GPU for its exceptional performance characteristics and interconnect capabilities. The platform achieves peak FP8 throughput of 10.6 Petaflops per GPU, delivering 84.8 Petaflops across the entire eight-GPU baseboard, while NVIDIA's NVLink ultra-high-bandwidth GPU interconnect ensures efficient multi-GPU communication at scale. Workload support spans LLM training, inference optimisation, and traditional HPC applications, making this baseboard a versatile choice for organisations deploying mixed AI and scientific computing environments. The server-class 12V-2x6 / 16-pin power connector meets enterprise power delivery standards, and NVIDIA's 3-year manufacturer warranty (with extended options available) protects your investment in this critical infrastructure component.
To procure the NVIDIA HGX B200 8-GPU Baseboard (HGX-B200-8GPU) for your datacentre or enterprise cluster deployment, contact Omnixon Global's technical sales team today with a detailed request for quotation.
Technical Specifications
| Brand | NVIDIA |
| Category | GPUs |
| SKU | HGX-B200-8GPU |
| Part Number | HGX-B200-8GPU |
| Condition | New |
| GPU Model | B200 |
| GPU Count (platform) | 8 |
| Power Connector | 12V-2x6 / 16-pin (server-class) |
| Warranty | 3-year manufacturer warranty (extended available) |
| GPU Count | 8 |
| Manufacturer Part Number | HGX-B200-8GPU |
| Form Factor | Baseboard |
| GPU Memory per B200 | 192 GB HBM3e |
| Total GPU Memory | 1536 GB HBM3e |
| Peak FP8 Throughput (per GPU) | 10.6 Petaflops |
| GPU Interconnect | NVLink ultra-high-bandwidth |
| Supported Workloads | LLM training, inference, HPC |
| Integration | Compatible with enterprise GPU clusters and datacentre infrastructure |
Frequently Asked Questions about NVIDIA HGX B200 8-GPU Baseboard (HGX-B200-8GPU)
What server platforms accept the NVIDIA HGX B200 8-GPU Baseboard (HGX-B200-8GPU)?
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
How long is the lead time on AI GPUs?
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote authorised-channel ETAs only — no grey-market promises.
Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Can you help with NVIDIA AI Enterprise licensing?
Yes. We hold authorised channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.