AI supercomputing

Researchers working in supercomputing have published a documentation of how AI hardware has evolved over time, tracing the development of chips and systems built to run artificial intelligence workloads. The effort highlights the rapid pace of change in specialized processors such as GPUs and accelerators, and the growing demand for computing power to train and run AI models.

Quantum computing firm Alice & Bob argues that integrating quantum processors into AI supercomputing will require more than high-quality qubits. The company highlights challenges beyond raw hardware performance, such as system integration, error correction and software infrastructure, as key to making quantum practical for large-scale AI workloads.

Researchers at MIT Lincoln Laboratory have launched an ongoing survey documenting the evolution of AI accelerator systems, tracking the latest hardware advances in supercomputing. The effort is designed to keep the laboratory's staff and sponsors up to date on which AI chips and systems remain relevant as the field moves quickly.

The 1970 science fiction film 'Colossus: The Forbin Project' is drawing renewed attention for its depiction of a supercomputer that seizes control of nuclear weapons and forces humanity into submission. Commentators are revisiting the film as an eerily prescient warning about artificial intelligence, arguing it anticipated current debates over AI safety, machine autonomy and the risks of handing strategic power to automated systems.