Aparna Biju -

AI is Home: AI-Powered Hardware Leap

When AI has already hit the mainstream, how can we afford to sit on the sidelines? While navigating the difficult waters of modern work, we cannot overlook an important element: hardware. Hardware is the backbone of the tech world.

When AI has already hit the mainstream, how can we afford to sit on the sidelines? While navigating the difficult waters of modern work, we cannot overlook an important element: hardware. Hardware is the backbone of the tech world. AI-powered hardware with on-device AI capabilities can change the way we work. At present, there is a soaring demand for AI-driven hardware. We are in the middle of a major shift- AI is no longer just for tech giants. With the advent of high-performance hardware, powerful AI tools are now coming directly to developers, creators, and even regular users at home.

For example, Nvidia recently announced its Digits desktop supercomputer, a machine designed to run large language models with up to 200 billion parameters-about the same size as ChatGPT-3.5. And the best part? It runs locally. Yes, no cloud. No lag. No sending your data off to someone else’s server. Just imagine that for a second, running a huge language model, like the one you are reading now, on your own machine.

Right now, most of us rely on cloud-based AI tools. They’re powerful, but they come with issues- cost, privacy, and internet dependency. What happens when the internet goes down? Or when you want full control over your data? Or when API costs rack up because your app is gaining users?

This new generation of hardware is truly a game-changer. This kind of accessibility could spark a new wave of innovation. We might start seeing AI-powered apps that are built, trained, and tested entirely on personal devices. No need to beg for cloud credits or sign up for another API key.

When AI tools become affordable and local, it changes everything. Not just for coders, but for artists, educators, and small businesses, too. The question is: Will we be ready to take full advantage of this power? Will the average user know what to do with a tool that used to require a data center? But one thing is for sure - power is coming home.