2 posts tagged with "Hardware"

In the year since OpenAI's ChatGPT debuted, it's taken the world by storm. Reportedly, nearly 49% of companies and over two million developers use the service.

Yet, here at DeepMake, we're not jumping on the ChatGPT bandwagon --- there are several reasons why. One of them being that ChatGPT only runs in the cloud, which adds many complexities even though it makes the model easy to use and widely accessible. We'd rather integrate a cloudless open-source AI model like Stable Diffusion that can run both locally and in the cloud.

There's a common misconception that to even dip your toes into the AI waters, you need to invest in state-of-the-art, high-end hardware. It's easy to understand why people believe this --- after all, until recently, you did need more robust hardware to run most models. 

Just look at Stable Diffusion, a popular open source AI art-generation application. When it was initially released in August 2022, Stable Diffusion needed 16GB of RAM and an Nvidia graphics card with at least 10GB of VRAM. At that time in 2022, the Nvidia RTX 3080 card cost between $900 and $1300.

Now, however, less than two years later, Stable Diffusion's minimum system requirements are a graphics card with just 4GB of VRAM and can run on Windows, MacOS, or Linux operating system. You can pick up an Nvidia Quadro graphics card with 4GB of VRAM on Amazon today for less than $200.