NVIDIA HGX B300

Brand: NVIDIA | Category: Servers

SKU: NV-HGX-B300 | Part #: HGX-B300 | MPN: HGX-B300

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The NVIDIA HGX B300 (Part Number: HGX-B300) is a purpose-built GPU compute platform designed for OEM system integrators and hyperscalers deploying next-generation AI infrastructure across data centres in the UAE, GCC region, and beyond. This 8-GPU board accommodates eight NVIDIA B300 SXM GPUs, delivering 288GB of HBM3e memory per GPU—the highest memory capacity in the HGX product family—for a total of 2.3TB of on-board memory across the platform. Built as a modular server building block for 2026-era deployments, the HGX B300 addresses the memory-intensive requirements of large language model training, multi-modal AI inference, and complex HPC simulations where data movement between host and accelerator memory becomes a critical performance bottleneck. Organisations deploying transformer-based models, retrieval-augmented generation (RAG) systems, and scientific computing workloads benefit from the substantial memory pool without requiring external bandwidth constraints that limit throughput on conventional architectures.

Key Features

• GPU Configuration: 8× NVIDIA B300 SXM GPUs in a single unified compute platform, enabling dense parallel processing across multiple accelerators within a single server node.
• Memory Capacity: 288GB HBM3e per GPU (2.3TB aggregate), the highest memory density in the HGX lineup, eliminating memory as a bottleneck for large-model inference and training.
• Form Factor: 8-GPU board design optimised for OEM integration into 2U, 4U, and larger server chassis, enabling flexible deployment architectures.
• AI Optimisation: Purpose-engineered for AI workloads with dedicated Tensor cores, sparse tensor acceleration, and optimised instruction sets for matrix operations fundamental to deep learning.
• Memory Technology: HBM3e stacked memory provides low-latency, high-bandwidth access to GPU compute cores, critical for sustained performance on bandwidth-hungry transformer models and large-batch inference.
• Connectivity: Standard GPU interconnect and host interface support, compatible with industry-standard data centre networking and storage infrastructure.
• Production Status: New condition, targeting 2026 data centre deployments with full manufacturer support and warranty coverage.
• Thermal Architecture: Standard cooling design for integration into OEM platforms with data centre-grade airflow and thermal management systems.

Typical Use Cases

• Large Language Model Inference: Serving production LLM endpoints (70B–405B parameter models) with sufficient per-GPU memory to avoid model sharding, reducing latency and inter-GPU communication overhead in retrieval-augmented generation (RAG) pipelines.
• Generative AI Model Training: Fine-tuning and continued pre-training of foundation models where HBM3e capacity enables larger effective batch sizes and longer sequence lengths, accelerating convergence on custom domains.
• Multi-Modal AI Processing: Running vision transformers, multimodal foundation models, and fusion architectures that process images, video, and text simultaneously within a single node without GPU-to-GPU memory transfers.
• Scientific Computing and HPC: Physics simulations, molecular dynamics, climate modelling, and computational chemistry applications requiring dense memory access patterns and high floating-point throughput.
• OEM Server Platform Integration: Building integrated AI appliances, data centre-scale inference clusters, and purpose-built supercomputing nodes where the HGX B300 serves as the compute foundation.
• Enterprise AI Infrastructure Buildout: Organisations establishing in-house generative AI capability across GCC markets, deploying hybrid inference-training environments with standardised NVIDIA platforms.

The HGX B300 stands apart through its memory-first architecture: at 288GB HBM3e per GPU, it eliminates external bandwidth as a constraint for memory-bound AI workloads, a distinction critical for production inference at scale. Omnixon Global sources and stocks NVIDIA accelerator platforms for data centres, AI labs, and system integrators across UAE, GCC, and Asia-Pacific. For pricing, availability, and integration guidance tailored to your deployment, please contact our technical team or request a formal quote.

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