Thanks chat. That's the point.

You can have the best of both worlds: lighting-fast local processing when you need it, and also cloud-scale intelligence when you want it.

Don't get me wrong. The cloud isn't going anywhere! But we're entering an era where the cloud handles the heavy lifting of analysis and insights, while edge devices can manage the immediate, critical operations—no matter how complex.

We're talking: complex AI models, real-time video analysis, and sophisticated sensor processing—all without the cloud's latency or
{data transfer costs}.

What changed? Two things:
1. Hardware has gotten incredibly powerful (and smaller!)
2. We've gotten better at building efficient applications.

**The result is that operations that previously needed cloud-scale computing can now run locally.**

Or Smart Manufacturing, where real-time quality control happens right on the factory floor using local AI.

Take EV Charging, my current endeavor, as an example: instead of sending every transaction all the way up to the cloud and back around, local processing can handle energy distribution operations within milliseconds.

It is *not* just a pendulum swing back to on-premise computing—it's way more interesting than that! Modern edge computing is truly expanding possibilities in how we can handle data-intensive operations.

And now I see that's what the original article starts with, which I only read after I read yours :-)

This reminds me of that trend last year where people were asking ChatGPT to make things increasingly "more X," as in, "more American"

Let's move tech forward honestly, reasonably, and peacefully.

Happy New Year!

(3) I will provide you with value-add content for the purpose of advancing my field only, not to trick the algorithm or steal your focus and attention.

(2) I will not further polarize the political spectrum. My opinions are my own, and I'm happy to admit I have too limited information or influence to sway most modern issues.

same carloslem.us