GPU systems and clusters are essential for modern high-performance computing. A GPU system is a computer equipped with one or more Graphics Processing Units, designed to accelerate tasks like AI, machine learning, simulations, and data processing.
As demands increase, GPU clusters—multiple GPU systems connected via high-speed networks—enable large-scale computation by distributing workloads across many nodes. These clusters power everything from AI training and scientific research to real-time analytics and digital content creation.
With the rise of data-intensive applications, GPU systems and clusters are now critical infrastructure in both industry and research.
High-performance desktop systems powered by NVIDIA GPUs, designed for AI development, data science, 3D visualization, and simulation. Ideal for engineers, researchers, and creators who need accelerated computing power in a local, manageable environment.
Enterprise-grade, scalable platforms such as NVIDIA DGX™ systems and certified partner servers built for AI training, inference, and HPC workloads. These systems power data centres and hybrid cloud environments, enabling large-scale model development and collaborative research.
Compact, energy-efficient systems like the NVIDIA Jetson™ series that bring AI computing to the edge. Perfect for real-time processing in robotics, smart cameras, industrial automation, and remote environments where cloud connectivity is limited or latency-sensitive.