- 8x Blackwell Ultra, 2.1 TB HBM3e
- 144 PFLOPS FP4 sparse, 108 dense
- Configured by OEM: Supermicro, Dell, HPE and others
Image: NVIDIA. Manufacturer render; units ship in manufacturer packaging.
NVIDIA, HGX 8-GPU, new
NVIDIA HGX B200 8-GPU Server
NVIDIA HGX B200 is an eight-GPU Blackwell platform with 1.4 TB of HBM3e and NVLink 5 at 1.8 TB/s per GPU. It keeps strong FP64 performance (296 TFLOPS per 8-GPU board), so it suits mixed AI and HPC clusters.
Price on written offer
Send quantity and destination. We confirm supply, lead time and a fixed price in writing.
- Exact part number HGX B200. No edition substitution without your written approval.
- Stated per offer: manufacturer, OEM or supplier backed.
- Lead time confirmed in your written offer. Agreed per order (Incoterms 2020).
- 30% deposit to secure the allocation, balance before dispatch. Bank transfer against pro forma invoice, or card payment link for approved orders. Card details are entered on Network International's secure payment page, never on our servers.
- Lead-time orders are secured with a 30% deposit, balance before dispatch. Written offers are valid for the period stated, usually 48 to 72 hours.
Offer terms
- Availability
- Source to order
- Unit price
- Quoted per order
- Minimum order
- 1 unit
- Ships from
- Confirmed in your written offer
- Dispatch
- Lead time confirmed in your written offer
- Incoterm
- Agreed per order (Incoterms 2020)
- Tax and duties
- Quoted excluding UAE VAT, duties and import taxes unless stated
- Payment
- 30% deposit to secure the allocation, balance before dispatch; Bank transfer against pro forma invoice, or card payment link for approved orders
- Condition
- New, factory sealed
Overview
HGX B200 delivers 144 PFLOPS FP4 with sparsity (72 PFLOPS dense) and 72 PFLOPS FP8 across eight Blackwell GPUs with 180 GB of HBM3e each. Unlike Blackwell Ultra, it retains high double-precision throughput: 296 TFLOPS FP64 per board.
It ships inside OEM servers. We quote the exact OEM SKU, configuration and lead time for your site.
Typical uses
- Training
- Inference
- HPC and simulation
- Data analytics
Specifications
| GPUs | 8x NVIDIA Blackwell SXM |
|---|---|
| MIG | Up to 7 instances per GPU |
| GPU memory | 1.4 TB HBM3e (180 GB per GPU) |
|---|---|
| Memory bandwidth | 62 TB/s total (7.7 TB/s per GPU) |
| FP4 Tensor | 144 PFLOPS sparse, 72 PFLOPS dense |
|---|---|
| FP8 and FP6 Tensor | 72 PFLOPS (with sparsity) |
| FP64 and FP64 Tensor | 296 TFLOPS |
| NVLink | 5th generation, 1.8 TB/s per GPU, 14.4 TB/s total |
|---|---|
| Host interface | PCIe Gen5, 128 GB/s |
| GPU power | Configurable up to 1,000 W per GPU |
|---|---|
| Cooling | Air-cooled and liquid-cooled systems available by OEM |
Source: manufacturer documentation, checked 16 October 2026. Tensor figures follow NVIDIA's stated basis; sparse figures are marked.
Delivery and warranty
Delivery. Lead time confirmed in your written offer. Agreed per order (Incoterms 2020). Shipments are insured to declared value and tracked. Delivery to every destination is subject to export and sanctions screening; see export compliance.
Warranty. Stated per offer: manufacturer, OEM or supplier backed. Keep serial numbers with your invoice; our warranty and RMA process explains how claims are handled.
Cancellation. Written offers state their validity and cancellation terms. See returns and cancellations.
Questions about the HGX B200
B200 or B300?
How quickly can you confirm availability?
Related guides
Alternatives
- 8x H200 SXM, about 1.1 TB HBM3e
- Over 32 PFLOPS FP8 per server
- Proven Hopper software stack
Often bought with
- 400 Gb/s NDR InfiniBand or 400GbE
- PCIe 5.0 x16, 24.9 W typical
- H100 and H200 era GPU nodes
- 800 Gb/s XDR InfiniBand
- PCIe Gen6 x16
- Quantum-X800 and Spectrum-X fabrics



