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NVIDIA HGX B300 8-GPU Platform
NVIDIAQuoted on request

NVIDIA HGX B300 8-GPU Platform

Eight Blackwell Ultra GPUs with 2.1 TB of HBM3e for reasoning-model inference at scale

Model
HGX B300
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 HGX B300 is the Blackwell Ultra generation of the eight-GPU HGX baseboard, built for the reasoning models and agentic workloads that now dominate inference demand. Its eight Blackwell Ultra SXM GPUs present 2.1 TB of HBM3e as a single NVLink domain, dense FP4 throughput rises to 108 PFLOPS against 72 PFLOPS on HGX B200, and attention-layer performance is doubled. ConnectX-8 SuperNICs are integrated directly on the baseboard, lifting networking bandwidth to 1.6 TB/s so that multi-node clusters scale without a separate NIC tray. FP64 throughput is deliberately reduced, which makes the B300 an inference and training part rather than a classical HPC accelerator.

Typical customers are AI cloud operators, sovereign AI programmes, telecom operators building inference-as-a-service and enterprises that need to serve long-context models to thousands of concurrent users. HGX B300 is shipped inside OEM chassis from Supermicro, Dell, HPE, Lenovo, GIGABYTE and ASUS, usually in 8U or 10U form with air or direct-liquid cooling, and is often ordered in multiples of eight nodes to populate a full NVLink-connected scalable unit.

InTechnologies FZCO arranges HGX B300 systems for business customers in the UAE, the wider GCC and Central Asia. Because this is controlled data-centre hardware, the contract and invoice are issued by one of our licensed partners, and our own role covers OEM sourcing, consolidation at our Dubai hub and DDP or DDU delivery to the customer site. Blackwell Ultra GPUs fall under US export regulations, so we complete end-user verification for every destination before confirming an order.

Specifications

NVIDIA HGX B300 8-GPU Platform: Specifications
GPUs8× NVIDIA Blackwell Ultra SXM
Total GPU memory2.1 TB HBM3e
FP4 Tensor Core144 PFLOPS sparse, 108 PFLOPS dense (8 GPUs)
FP8 / FP6 Tensor Core72 PFLOPS sparse (8 GPUs)
FP16 / BF16 Tensor Core36 PFLOPS sparse (8 GPUs)
GPU-to-GPU interconnectNVLink 5, 1.8 TB/s per GPU, 14.4 TB/s total
Networking1.6 TB/s via integrated ConnectX-8 SuperNICs
Form factorHGX baseboard, integrated into 8U–10U OEM servers
SoftwareNVIDIA AI Enterprise, CUDA, NIM microservices

Questions buyers ask

How does HGX B300 differ from HGX B200?

B300 uses Blackwell Ultra GPUs with 2.1 TB of total HBM3e instead of 1.4 TB, 50 percent higher dense FP4 throughput and integrated ConnectX-8 networking, while FP64 performance is much lower. For HPC-heavy workloads B200 may still be the better fit.

Which OEM systems can you supply with HGX B300?

Air-cooled and liquid-cooled 8-GPU systems from Supermicro, Dell, HPE, Lenovo, GIGABYTE and ASUS. We select the chassis according to your rack depth, power feed and cooling method.

What export paperwork is required?

An end-user statement describing the customer, site and intended use. Our licensed partner reviews it against US export regulations and, where required, applies for a licence before the order is accepted.

What is the expected lead time?

Blackwell Ultra allocation is managed by NVIDIA and the OEMs, so lead times vary by quarter. We provide a realistic delivery window with each quotation and update it as allocation is confirmed.

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NVIDIA HGX B200 8-GPU Platform
NVIDIAQuoted on request

NVIDIA HGX B200 8-GPU Platform

Eight Blackwell GPUs with 1.4 TB of HBM3e for large-scale AI training and inference

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