The pace of change at the edge is no longer incremental—it’s accelerating in ways that force us to rethink how missions are executed, secured, and scaled. Modern operations increasingly rely on compute resources that live far from traditional data centers, closer to the people and systems that need them. That shift brings opportunity, pressure, and in many cases a complete re-evaluation of what “capability” really means. Edge to Mission is where I explore that intersection: AI, edge compute, microelectronics, and the practical realities of deploying technology in demanding environments for the U.S. and key allied partners.
My focus here is unapologetically technical, but always grounded in the mission outcomes that matter—situational awareness, safety, resilience, and decision advantage. You’ll find discussions on the rise of small and local language models, the rediscovery of efficient silicon, and the tradeoffs between NPUs, GPUs, TPUs, and modern CPU designs. I also dig into leading-edge process node roadmaps, memory architecture shifts, and why compute placement (not just compute power) is becoming a strategic conversation. These aren’t product reviews; they’re the patterns, signals, and architectural questions shaping where edge AI is heading.
But it’s not just silicon. The real story is what we can do with these capabilities: improving disaster response when infrastructure is down, enabling public safety when bandwidth is limited, operating in contested environments where cloud access is neither guaranteed nor safe, and designing portable, hardened, or autonomous systems that close the gap between sensing and understanding. The ecosystem around these challenges is growing—software stacks, packaging technologies, government investments, and new edge-native workflows—and I intend to map it all. If you care about AI that works outside the lab, this is your space.
Welcome aboard!