But behind every AI workload, the most fundamental constraint is power. Fig. 1: AI server market. Source: Grand View Research ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. To say that it’s challenging to achieve AI at scale across the enterprise would be ...

We’re at the beginning of a new era in quality engineering, one shaped by agentic AI. While generative AI has captured global attention, the real transformation in software testing is only just ...

We’ve said it before: building one-offs is different from building at scale. Even on a small scale. There was a time when it was rare for a hobbyist to produce more than one of anything, but these ...

Apple faces pressure to rethink its AI strategy as generative AI shifts focus to cloud-scale models, testing its ...

As organizations grow and embrace digital transformation, their software systems are becoming more complex than ever. With innovation moving at breakneck speed, enterprises are now rolling out updates ...

A model can be 95% accurate and still be a disaster if it’s too slow or drifts. Don't just watch the model — watch the plumbing, the data loops and the blast radius.