NVIDIA Rubin Ultra is an improved version of the Rubin architecture, expected in 2027 as its successor. Functionally it consists of two Rubin cores connected together.
Rubin Ultra doubles Rubin's capabilities, reaching 100 sparse petaflops in FP4. It sits on NVIDIA's roadmap after Blackwell and Rubin (Rubin's own successor is to be the Feynman architecture).
AI Accelerator · serves as: AI Inference, High-level compute.
Which group NVIDIA Rubin Ultra 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.
