NVIDIA GB300 NVL72
The NVIDIA GB300 NVL72 is an enhanced version of the GB200 NVL72 system, delivering higher performance through Blackwell Ultra B300 GPU accelerators. The system retains the Grace CPU + Blackwell GPU architecture in a 36+72 configuration, but provides significantly higher memory bandwidth and compute throughput for the most demanding AI and HPC workloads. Designed for next-generation data centers running AI models with hundreds of billions of parameters.
Classification
AI Accelerator · serves as: AI Inference, High-level compute.
Which group NVIDIA GB300 NVL72 belongs to and how it is built
Compute Modules is a subcategory of hardware components that provide processing power for robotic systems. It encompasses onboard computers, single-board computers (SBCs), AI accelerators, embedded processors, GPU/NPU compute modules, and other units responsible for processing sensor data and executing control logic. These modules form the foundation of modern autonomous, humanoid, and perception-capable robots.
An AI Accelerator is a specialized hardware component designed for efficient execution of artificial intelligence computations, particularly neural network inference, computer vision processing, and sensor data analysis. In robotics, AI accelerators are used to run perception models, object recognition, image segmentation, planning, and other tasks that require high computational throughput under constrained power budgets. They may take the form of dedicated NPU, TPU, VPU, or GPU chips, or specialized embedded modules.
Technical specification
Basic physical properties of NVIDIA GB300 NVL72 — dimensions, weight and materials