Artificial intelligence is entering a phase in which its role may extend beyond performing tasks, assisting researchers, and automating software development. Increasingly capable AI systems are becoming part of the research and engineering processes used to create the next generation of AI. This creates a consequential possibility: artificial intelligence could eventually contribute so substantially to its own development that the pace of progress accelerates beyond conventional human-led...

The rapid expansion of artificial intelligence infrastructure is creating a new class of computing environment that is far more complex than conventional data centers. Modern AI factories combine enormous GPU fleets, high-speed networking, specialized storage, workload schedulers, cooling systems, and software stacks that must operate together with extraordinary consistency. When one component begins to degrade, the consequences can extend far beyond that individual device. NVIDIA is...

The rapid expansion of artificial intelligence is creating a networking problem that is becoming just as important as the evolution of processors and accelerators. Modern AI factories increasingly depend on thousands of computing systems operating as a coordinated whole, moving enormous volumes of data between GPUs, switches, storage, applications, and services. As AI models become larger and inference workloads become more continuous and distributed, the network connecting these systems can...