Why ChatGPT Keeps Getting More Expensive: New GPUs Won't Save Prices
Inference (running deployed AI models) is getting more expensive as the load on infrastructure keeps growing. A new generation of GPUs and specialized accelerators promises to ease demand for compute and cut costs for developers. But users are unlikely to see lower prices: companies won't cut their margins.
AI-processed from 3DNews AI; edited by Hamidun News
Every day, ChatGPT, DeepSeek, and other AI models get more expensive to run as the load on infrastructure keeps growing.
What is inference in neural networks?
Inference is the phase in which a trained model does its job and answers user requests. A model is trained once, then run thousands of times a day across thousands of servers.
Why are
ChatGPT and other AI models getting more expensive if GPUs are getting cheaper? Every user request has to be computed on a GPU. When millions of people message ChatGPT at the same time, that creates a massive load that demands expensive hardware, even as the chips themselves get cheaper.
Why are ChatGPT and AI services getting more expensive?
The cause is the growing load on infrastructure. Every user request requires computation on graphics processing units (GPUs), and when millions of people use ChatGPT at the same time, that puts enormous strain on the company's servers.
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Key Questions Answered
What is inference in neural networks?
Inference is the phase in which a trained model does its job and answers user requests. A model is trained once, then run thousands of times a day across thousands of servers.
Why are ChatGPT and other AI models getting more expensive if GPUs are getting cheaper?
Every user request has to be computed on a GPU. When millions of people message ChatGPT at the same time, that creates a massive load that demands expensive hardware, even as the chips themselves get cheaper.
Why are ChatGPT and AI services getting more expensive?
The cause is the growing load on infrastructure. Every user request requires computation on graphics processing units (GPUs), and when millions of people use ChatGPT at the same time, that puts enormous strain on the company's servers.
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