Modern generative AI models, large language models (LLMs) with trillions of parameters, and complex scientific simulations are pushing the limits of traditional data centre architectures. The NVIDIA HGX™ platform provides the technological foundation for scalable AI environments and high-performance computing (HPC).
Through the seamless integration of up to eight high-performance GPUs via an ultra-fast NVSwitch fabric, the systems operate as a single, coherent computing unit with maximum data throughput and minimised latencies.
What: The architecture of the NVIDIA HGX platform
HGX combines state-of-the-art computing and interconnect technologies on a high-density baseboard to eliminate traditional bottlenecks in multi-GPU operations:
Why: Scalability for demanding enterprise workloads
Huge volumes of data and complex software stacks (such as PyTorch, TensorRT-LLM or NVIDIA NIM) require an infrastructure that scales linearly:
The Blackwell generation (NVIDIA B200 / B300): As the next evolutionary leap for highly scaled enterprise applications, Blackwell-based HGX systems incorporate the fifth generation of NVSwitch and offer unrivalled bandwidth with up to 288 GB of HBM3e memory per GPU. They are architecturally designed specifically to reliably handle trillion-parameter models, latency-critical real-time inference and complex deep learning pipelines in continuous operation.
As a proven foundation for demanding enterprise infrastructures, Hopper utilises the fourth generation of NVLink and incorporates massive amounts of HBM3e memory (up to 141 GB per GPU) in H200 systems. This delivers a noticeable performance boost for memory-intensive inference workloads and the efficient processing of large language models, whilst the integrated Transformer Engine accelerates the transition to faster FP8 training in the data centre.
GoldSeries, GoldSeries-AI(GPU), 8U Server, GPU Systeme, HGX
GoldSeries, GoldSeries-AI(GPU), 8U Server, GPU Systeme, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, AI Training Server, HGX
GPU Systeme, 4U Server, AI Training Server, HGX
Massive datasets and complex simulations cannot be handled by raw computing power alone. The NVIDIA HGX™ platform is therefore designed as a precisely tuned end-to-end system:
Your path to the AI cluster
sysGen supports you beyond just hardware selection. We deliver turnkey solutions that integrate seamlessly into your data centre infrastructure – from individual nodes to scalable SuperPODs.
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Whilst PCIe cards communicate via the standard bus, HGX platforms utilise the proprietary NVSwitch and NVLink technologies. This eliminates communication bottlenecks between the GPUs, enabling the system to operate as a highly efficient, unified computing unit.
Due to their high power density (often several kilowatts per server), the latest-generation HGX systems require a precisely engineered power supply, redundant power units and advanced cooling solutions such as Direct Liquid Cooling (DLC).
The platform is the industry standard for training large language models (LLMs), complex scientific simulations (HPC), industrial data centres and computationally intensive deep learning applications.
HGX systems have a modular design and can be integrated into standard racks. sysGen offers scalable solutions - air or liquid cooled - with optional support for GPU clusters, storage connection and management software. Integration is customised to existing IT environments.
