Why can't people just run gemini and claude code using their own gpus?

Imagine having powerful AI models like Gemini or Claude sitting idle on your PC, just waiting to be used. That’s the thing — people want to run these models on their own GPUs, but it’s not that simple. According to Reddit user /u/89percent, the main issue isn’t just hardware availability but cost and infrastructure. These models require massive compute power, and for most folks, their personal GPUs just aren’t enough — plus, running them would chew up electricity and cause heat issues. AI companies like Anthropic and Google have built these models to run in cloud environments because they control the hardware and can optimize performance. Now, here’s where it gets interesting — despite the hype about democratizing AI, the reality is that most users simply don’t have the resources or technical setup to run these giants locally. As /u/89percent points out, the bottleneck isn’t just hardware; it’s the sheer scale of compute and cost that makes local hosting unfeasible. And get this — this gap will only widen as models grow bigger and more complex, hinting at a future where cloud remains king.