Inference.
Learn what Inference means in modern AI and large language models.
The runtime process of feeding input through a trained AI model to produce an output — distinct from training.
Inference is what happens every time you send a prompt to ChatGPT or any AI tool: the model takes your input, runs the math, and emits a response. Inference is fast (sub-second to a few seconds), uses far less compute than training, and is where almost all production AI cost lives.
For marketers, the relevant fact is that inference is recurring cost. AI features that scale with usage scale with inference spend, which is why most tools cap free tiers and charge per-call.
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Articles about Inference
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OpenAI Unveils Jalapeño, Its First Custom AI Chip
OpenAI announced its first custom AI chip on June 24, 2026. Called Jalapeño and built with Broadcom, the inference chip is designed to power ChatGPT and other large language models — and it signals a major shift in who controls AI infrastructure.
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How LLMs Actually "Read" Your Website (And Why It's Different From Google)
ChatGPT might be serving visitors a six-month-old version of your homepage. Perplexity is live but cuts you off mid-sentence. Google's AI Overviews run on a completely different pipeline than either one. Here's the plain-English breakdown of how LLMs actually process your site — and why it matters for how you write and structure your content.
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