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NVIDIA HGX GPU Server Platforms
High-density, multi-GPU server platforms for AI training, large language model inference and high-performance computing. Built for data centres that demand maximum throughput, NVLink interconnects and scalable GPU-to-GPU communication at every tier.
NVIDIA HGX Systems for AI, HPC and Enterprise Computing
NVIDIA HGX systems are built for organisations that need accelerated compute at scale. Designed for generative AI, large language model training, inference, simulation and HPC, HGX platforms combine NVIDIA GPUs, NVLink, high-bandwidth memory and data centre-ready system architecture.
Built for multi-GPU performance and demanding enterprise workloads, NVIDIA HGX systems give AI teams, research organisations, cloud providers and data centres a powerful foundation for training, fine-tuning and deploying modern AI models.
NVIDIA HGX B200
The NVIDIA HGX B200 platform is built for the Blackwell generation of AI computing. With support for high-density GPU configurations, advanced Tensor Core performance and massive HBM3e memory bandwidth, HGX B200 is suited to generative AI training, inference, model fine-tuning and large-scale accelerated computing.
NVIDIA HGX H200
The NVIDIA HGX H200 platform provides a powerful foundation for enterprise AI and HPC using NVIDIA H200 Tensor Core GPUs. With large HBM3e memory capacity and high memory bandwidth, H200 systems are well suited to demanding AI models, recommender systems, analytics and scientific computing workloads.
NVIDIA HGX H100
The NVIDIA HGX H100 platform remains a widely deployed choice for AI training, inference and HPC environments. It offers strong multi-GPU acceleration, high-speed interconnects and mature ecosystem support for organisations scaling AI workloads across enterprise and research environments.
NVIDIA GB200 NVL72
The NVIDIA GB200 NVL72 is designed for organisations moving towards rack-scale AI infrastructure. By connecting Grace CPUs and Blackwell GPUs in a high-performance architecture, it supports real-time trillion-parameter model inference, large mixture-of-experts workloads and demanding AI factory deployments.
8× GPUs
Available HGX Baseboards
141GB H200
Per-GPU Memory Option
640GB A100
8-Way HGX Baseboards
Rack Ready
4U to 8U Systems
Ideal Workloads
Built for Demanding AI Infrastructure
From model training to large-scale inference, NVIDIA HGX systems are designed for organisations running complex workloads that need serious GPU acceleration, high memory bandwidth and scalable data centre performance.
HGX platforms are ideal for businesses, research teams, universities and cloud providers looking to build infrastructure for AI, HPC, analytics and enterprise-scale accelerated computing.
Generative AI & LLMs
Train, fine-tune and deploy large language models, generative AI tools and transformer-based applications across multi-GPU infrastructure.
AI Training
Accelerate deep learning, computer vision, natural language processing and complex model development with high-performance GPU compute.
Enterprise AI Inference
Run production AI workloads at scale, including recommendation engines, chatbots, automation tools and real-time intelligent applications.
High-Performance Computing
Support demanding HPC workloads such as simulation, modelling, research computing, numerical analysis and engineering calculations.
Data Analytics
Process large datasets faster with GPU acceleration for forecasting, risk modelling, business intelligence and decision-making workloads.
Healthcare & Life Sciences
Power medical imaging, genomics, drug discovery, protein modelling and other research-intensive life sciences applications.
Financial Services
Accelerate fraud detection, portfolio modelling, algorithmic trading, risk analysis and AI-powered financial applications.
Cloud & GPU-as-a-Service
Build scalable GPU infrastructure for private cloud, hosted AI platforms, GPU rental, virtualisation and enterprise AI services.
NVIDIA HGX System Comparison
NVIDIA Jetson Module Comparison
Compare available NVIDIA HGX platforms across GPU generation, memory capacity, system configuration and ideal deployment use cases. Specifications vary by system manufacturer, chassis, CPU, RAM, storage, networking and cooling configuration. For exact availability, view the individual product listing or request a quote from Eton Technology.
| Specification | NVIDIA HGX H200 | NVIDIA HGX H100 | NVIDIA HGX A100 |
|---|---|---|---|
| GPU Architecture | NVIDIA Hopper | NVIDIA Hopper | NVIDIA Ampere |
| Typical Configuration | 4-Way or 8-Way HGX | 8-Way HGX | 8-Way HGX |
| GPU Memory | 141GB per GPU | 80GB per GPU | 80GB per GPU |
| Total GPU Memory | Up to 1,128GB | Up to 640GB | Up to 640GB |
| Memory Type | HBM3e | HBM3 | HBM2e |
| GPU Interconnect | NVIDIA NVLink / NVSwitch | NVIDIA NVLink / NVSwitch | NVIDIA NVLink / NVSwitch |
| Workload Focus | Generative AI, LLMs, inference, HPC | AI training, inference, HPC | AI training, analytics, HPC |
| Deployment Type | Enterprise data centre systems | Enterprise data centre systems | Enterprise data centre systems |
| DL AcceleraAvailable System Typestors | 4U, 5U, 6U and 8U rack systems | Rack systems and GPU assemblies | Rack systems and HGX baseboards |
| Best For | Newer AI infrastructure and large model workloads | Established enterprise AI environments | Proven accelerated computing deployments |
Need help choosing?
Our team can help you compare H200, H100 and A100 HGX configurations based on your workload, rack space, power, cooling and budget requirements.
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NVIDIA HGX Systems, Servers & Baseboards
Browse NVIDIA HGX systems designed for enterprise AI, HPC, deep learning and accelerated data centre workloads.
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