Robert Youssef

Turing Award winner and Google researcher David Patterson co-authored a paper accepted by IEEE Computer (2026) arguing that the AI industry's real crisis is inference, not training, and that current hardware was never designed to handle LLM inference workloads efficiently.

a Google researcher and Turing Award winner David Patterson just published a paper arguing that AI's real crisis isn't training. it's inference.

and the hardware the entire industry runs on was never designed for it.

the paper opens with a line that sets the tone: "Large language model inference is a crisis."

accepted by IEEE Computer, 2026. here's what they found:

<p>a Google researcher and Turing Award winner David Patterson just published a paper arguing that AI's real crisis isn't training. it's inference.

and the hardware the entire industry runs on was never designed for it.

the paper opens with a line that sets the tone: &quot;Large language model inference is a crisis.&quot;

accepted by IEEE Computer, 2026. here's what they found:</p>

A Google researcher and Turing Award winner David Patterson published a paper arguing that AI's real crisis isn't training but inference — the computational cost of running AI models at scale.