OpenAI, the developer of ChatGPT, has not publicly specified the exact hardware infrastructure needed to run ChatGPT. However, running complex machine learning models typically involves powerful processors, RAM, and adequate storage. One would specifically need a high-performing GPU for neural network computations.
Remember that OpenAI provides ChatGPT through an API, which means the heavy computational process is handled on their end on their servers.
For the average user, the capability to interact with ChatGPT could be done via regular devices, like a personal computer, a tablet, or even a smartphone, given that API calls are very lightweight and require minimal computational power on the client-side.
For those who wish to run similar models in their own environments, they need to have a solid background in AI and machine learning, and should invest in powerful machines, ideally with high-performing GPUs. The specific requirements would vary greatly based on the size and complexity of the model. It’s also noteworthy that the full model of GPT-3 has 175 billion parameters and isn’t publicly available due to concerns about potential misuse.
