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NVIDIA DGX B200 System
NVIDIAQuoted on request

NVIDIA DGX B200 System

Turnkey 10U AI system with eight Blackwell GPUs, 1.4 TB HBM3e and 72 PFLOPS FP8 training

Model
DGX B200
Condition
New, original packaging
Availability
Quoted on request
Quantity
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Price on request. Tell us the quantity and destination and we reply within one working day.

How we supply this item

Supplied through licensed partners. Server, networking and data-centre hardware is supplied through licensed partners of InTechnologies FZCO. The partner issues the contract and invoice; we handle sourcing, consolidation in Dubai and delivery coordination. Export compliance

Export compliance. This product is subject to US export regulations. How we handle it is described on the export compliance page. Export compliance

The NVIDIA DGX B200 is the factory-built 8-GPU Blackwell system from NVIDIA itself: a 10U chassis that arrives with the HGX B200 baseboard, two Intel Xeon Platinum 8570 processors, 2 TB of system memory expandable to 4 TB, and the networking already installed. Eight single-port ConnectX-7 adapters give each GPU a dedicated 400 Gb/s InfiniBand or Ethernet path for cluster fabrics, while two BlueField-3 DPUs serve storage and in-band management. The system delivers 72 PFLOPS of FP8 training and 144 PFLOPS of FP4 inference from 1.4 TB of HBM3e.

DGX B200 suits organisations that want a validated, supported appliance rather than an OEM integration project: research institutes, financial firms, media companies and enterprises standing up their first on-premises training cluster. Units are combined into DGX SuperPOD or DGX BasePOD reference designs, and NVIDIA Base Command, DGX OS and NVIDIA AI Enterprise are bundled with the hardware, which shortens the time from delivery to first training run. Facilities planning matters: each system can draw around 14.3 kW and needs matching power distribution and cooling capacity.

For customers in the Gulf and neighbouring markets, InTechnologies FZCO sources DGX B200 systems through the NVIDIA authorised channel. The commercial contract and invoice come from a licensed partner of ours, while InTechnologies manages procurement, staging and consolidation in Dubai and delivers DDP or DDU to the data centre. As a Blackwell-based product, DGX B200 is subject to US export regulations, and the NVIDIA end-user verification process is completed before shipment.

Specifications

NVIDIA DGX B200 System: Specifications
GPUs8× NVIDIA Blackwell B200, 1,440 GB HBM3e total
GPU memory bandwidth64 TB/s aggregate HBM3e
AI performance72 PFLOPS FP8 training, 144 PFLOPS FP4 inference
CPUs2× Intel Xeon Platinum 8570, 112 cores total
System memory2 TB, configurable to 4 TB
Cluster networking4× OSFP ports serving 8× single-port ConnectX-7, up to 400 Gb/s InfiniBand or Ethernet
Storage and management networking2× dual-port QSFP112 NVIDIA BlueField-3 DPUs
StorageOS: 2× 1.9 TB NVMe M.2; internal: 8× 3.84 TB NVMe U.2
Power consumptionApproximately 14.3 kW maximum
Form factor10U rackmount
SoftwareDGX OS, NVIDIA Base Command, NVIDIA AI Enterprise

Questions buyers ask

What is included with a DGX B200 beyond the hardware?

DGX OS, NVIDIA Base Command cluster software and an NVIDIA AI Enterprise subscription, plus NVIDIA Enterprise Support for the term specified on the order. Extended support terms can be quoted.

What power and cooling does one system need?

Plan for around 14.3 kW per system at maximum load, delivered through multiple high-amperage feeds, and for air cooling capable of removing that heat. We can share NVIDIA facility guidelines during pre-sales.

Is DGX B200 available for delivery to the UAE?

Yes, subject to US export regulations. The end user must be verified and the destination must be permitted; our licensed partner manages the compliance process before the order is confirmed.

Can you deliver several units as a configured cluster?

Yes. We can source the matching Quantum InfiniBand or Spectrum-X Ethernet switches, cabling and storage so the cluster arrives as a complete bill of materials.

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NVIDIA HGX B200 8-GPU Platform
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Eight Blackwell GPUs with 1.4 TB of HBM3e for large-scale AI training and inference

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