As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation…
As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation models (WFMs), which are generative AI models trained to simulate, predict, and reason about future world states based on the dynamics of real-world environments, can help overcome this data challenge. NVIDIA Cosmos is a platform for…

RAPIDS cuDF offers a broad set of ETL algorithms for processing data with GPUs. For pandas users, cuDF accelerated algorithms are available with the zero code…
Gradient-boosted decision trees (GBDTs) power everything from real-time fraud filters to petabyte-scale demand forecasts. XGBoost open source library has long…
As multimodal AI models advance from perception to reasoning, and even start acting autonomously, new attack surfaces emerge. These threats don’t just target…
The newest update to the CUDA Toolkit, version 13.0, features advancements to accelerate computing on the latest NVIDIA CPUs and GPUs. As a major release, it…
Virtualization has long promised efficiency and scalability. However, challenges persist due to the increasing demands of graphics and compute workloads, along…