AI Infrastructure

Something unprecedented happened in AI this week. The companies most aggressively competing to dominate the AI landscape—OpenAI, Anthropic, Google, Microsoft, Amazon, and dozens of others—just agreed to collaborate on open standards for how AI agents should work together. The Agentic AI Foundation (AAIF), announced December 9, 2025, represents

The conversation around AI infrastructure costs has shifted dramatically in the past year. Every CTO and engineering leader is asking the same question: should we run our own LLMs or stick with cloud APIs? The answer isn't as straightforward as comparing GPU prices to token costs. After analyzing

The enterprise AI landscape is experiencing a seismic shift that most CTOs haven't fully grasped yet. While we've been laser-focused on AI implementation and performance metrics, a more fundamental crisis has been brewing beneath the surface: enterprise AI vendor dependency is creating the next generation of

The numbers are staggering: generative AI training clusters consume 7-8 times more energy than traditional computing workloads. That's not a typo. Seven to eight times. As data center power requirements in North America jumped from 2,688 MW at the end of 2022 to 5,341 MW by

Having built teams for over two decades, I've watched onboarding evolve from handwritten manuals to polished video libraries. But as AI reshapes how we work, it's time to ask some hard questions about our current approaches. Are Onboarding Videos Still Worth It? The honest answer is

As artificial intelligence continues to transform industries, the demand for specialized cloud infrastructure has reached unprecedented heights. The next generation of AI applications requires not just raw computational power, but a platform that is purpose-built for reliability, efficiency, and sustainability. The Rise of AI-First Cloud Platforms Traditional cloud solutions, while