AI Accelerator · serves as: AI Inference, High-level compute.
Which group NVIDIA GB200 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.
Basic physical properties of NVIDIA GB200 NVL72 — dimensions, weight and materials
The NVIDIA GB200 NVL72 is a data center supercomputer combining 36 Grace CPUs and 72 Blackwell B200 GPUs in a single rack-scale system. It delivers up to 1.4 exaflops of compute for training and inference of large language models, offering a 30x performance improvement over the previous generation. The system features liquid cooling and NVLink 5.0 technology for ultra-fast GPU interconnects.
