#nvidia

ABB Robotics is integrating NVIDIA Omniverse into RobotStudio, promising physics-based simulation that could cut robot deployment setup times by 80 percent.

Nvidia reported fiscal Q4 revenue of $68.1 billion, a 73% year-over-year surge, as hyperscalers collectively committed $650 billion in AI infrastructure spending for 2026. Despite the blowout results, investors remain cautious about whether the AI boom can sustain its breakneck pace.

Nvidia has reported yet another record-breaking quarter driven by insatiable demand for AI chips, with CEO Jensen Huang declaring that 'the demand for tokens in the world has gone completely exponential.' The results come as hyperscaler capital expenditure on AI infrastructure continues to shatter expectations.

NVIDIA has added Cosmos Policy to its suite of world foundation models, creating a new robot control framework that builds on the Cosmos Predict-2 model. The system is designed to help robots learn complex manipulation tasks by understanding the physical dynamics of their environment.

As AI models grow larger and inference demand scales, the industry's focus is shifting from GPU scarcity to memory constraints. High Bandwidth Memory from SK hynix, Samsung, and Micron is emerging as the critical — and increasingly expensive — component in AI infrastructure.