Enterprise AI

When quantum computing finally enters its practical era, it won’t arrive quietly—and it certainly won’t arrive alone. Denmark’s DCAI, the AI infrastructure company behind the country’s flagship Gefion supercomputer, is betting that quantum will rise alongside AI, not replace it. Today, the company announced support for NVIDIA NVQLink, a new open reference architecture built to connect classical GPU supercomputers with quantum processing units (QPUs) at blisteringly high speeds.

At SuperComputing 2025 in St. Louis, Moreh and Tenstorrent took aim at one of AI’s most persistent obstacles: the spiraling cost and complexity of scaling modern data centers. Their jointly developed platform—a combination of Moreh’s MoAI Framework and **Tenstorrent’s Galaxy Wormhole server—**steps directly into territory long dominated by GPUs, promising an architectural alternative optimized for both training and inference at scale.

Software teams ship faster than ever, but their automated tests rarely keep up. A small UI tweak—a moved button, a renamed element—can break dozens of tests, stall CI pipelines, and throw engineering teams into maintenance mode. For years, test automation has promised stability at scale, yet the reality often feels more like babysitting than engineering.