In this video, demonstrate an exciting edge inference breakthrough - real-time operation of the 20B-parameter open-source LLM GPT-OSS-20B on an NVIDIA Jetson Orin NX edge computing device! rn

This blog is about a simple but powerful idea: running AI locally, on your device. I strongly believe that local computing is the future of AI because hardware has improved massively over the years. The race toward faster, more efficient computing power is accelerating, and companies like Qualcomm, Intel, and AMD,NVIDIA are heavily investing in solutions to make on-device AI a reality.

The goal is to make AI frictionless and fast by eliminating the need to rely on cloud processing for every use case, from instant tasks to full production deployments. Right now, we can already run lightweight models locally for many tasks, which shows how feasible this future is becoming.

Why do I see this as the future? Running AI models locally gives you freedom. Most mobile applications today depend on cloud APIs that require constant internet connectivity, incur extra costs, and create complex system architectures. But what if all that processing happened on your phone, without needing an external server? This isn’t just a theoretical idea—it’s already happening.

On-device AI offers multiple advantages:

Privacy: Data stays local, reducing exposure to third parties.
Cost control: No need to pay for API calls or cloud processing.
Reliability: Works offline and without network latency.
Simplicity: The system architecture becomes cleaner, more functional, and easier to maintain.

I have always embraced open source models and believe AI should be accessible to everyone, not locked behind paid APIs or complicated cloud structures. Moving towards locally-run AI models helps democratize access and makes technology simpler, faster, and more efficient.In short, the future of AI is about empowering devices to think and act on their own, seamlessly and reliably. That’s why I love the idea of making AI frictionless, lightweight, and local. The technology is evolving toward this direction, and I’m excited to see it happen.