"Every AI lab is losing money serving your company right now. They know it. And they are doing it on purpose."That was the opening line of an article that landed in my inbox the same week 3 numbers crystallized to make it clear why open inference is no longer optional.A developer built a simple notes app over a weekend using an open source coding agent with a direct API key. One page, one feature. Cost: $50. The next day, a $20/month subscription provided 50x more tokens.One engineer on our inference team consumed 300 million tokens through open-weight models in 2 days, doing the same work tha
There is a growing realization across the industry that we've reached an AI tipping point.For the last couple of years, the conversation has been dominated by the question of what is possible with AI. Today, that question has shifted to, "now that we have it, how do we control it?" We're also moving from a world where computation was plentiful to one where it’s becoming restricted again—not just by the availability of GPUs, but by the boundaries of geography, regulation, and trust.Many organizations are putting on the brakes, realizing that a "cloud-only" AI strategy can introduce complexi
For the millions of visually impaired individuals worldwide, the lack of access to trained guide dogs represents a severe accessibility gap. While robotic alternatives exist, they have historically been limited by high costs and short battery life due to the heavy on-device processing required for autonomy. This year at DTW Ignite 2026 in Copenhagen, we are showcasing the Catalyst project, "The robotic dog: AI at the edge, sustainable revenue at scale." This Catalyst project demonstrates our collaboration with AsiaInfo, ATT, China Telecom, Netcracker, Omantel, and ZTE, and shows how intelligen