Subcategory covering compute modules responsible for data processing, control, and execution of robotic software.
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.
Compact mini-PC Intel Core i7-1360P (12C/16T), 2× TB4, 2× 2.5 GbE, up to 64 GB DDR4. Intel-discontinued, continued by ASUS.
Rack-scale, liquid-cooled computing system built around 72 NVIDIA Blackwell (B200) GPUs and 36 NVIDIA Grace CPUs, designed for training and inference of large AI models.
Rack-scale, liquid-cooled computing system built around 72 NVIDIA Blackwell Ultra (B300) GPUs and 36 NVIDIA Grace CPUs, designed for large AI model inference and training.
275 TOPS compute module with Ampere GPU and 12-core ARM CPU for autonomous robotics and edge AI.
NVIDIA flagship compute module for humanoids and physical AI - 2070 TFLOPS FP4, Blackwell GPU, 128 GB LPDDR5X.
Edge AI module, 32 TOPS with Volta GPU and 8-core Carmel ARM. End-of-sale — superseded by AGX Orin.
NVIDIA Jetson Orin NX 16GB compute module based on the Ampere architecture, used as the processing unit in the Unitree G1 robot for perception, AI, and edge computing tasks.
Compact SO-DIMM module, 40 TOPS (67 TOPS Super mode) with Ampere GPU, for small robots and drones.
5G-ready robotics platform on QRB5165 SoC (Snapdragon 865), 15 TOPS DSP, 8 GB LPDDR5, Wi-Fi 6.
BCM2712 Cortex-A76 single-board computer, PCIe 2.0, dual 4K HDMI, RTC, Wi-Fi 5 — Raspberry Pi flagship SBC.
BCM2711 SO-DIMM compute module, 1–8 GB LPDDR4, 0–32 GB eMMC, PCIe Gen2, optional Wi-Fi/BT.
Tesla-designed AI inference computer originally used in Tesla vehicles and adapted as the onboard compute module for the Optimus humanoid robot.
