{"data":{"slug":"alexnet-paper","etype":"paper","name":"AlexNet (2012)","cat":"Architecture","subtitle":"The ImageNet result that started the deep-learning era — on two gaming GPUs.","summary":"Krizhevsky, Sutskever and Hinton halved the ImageNet error rate with a convolutional network trained on two consumer NVIDIA GTX 580s — the moment that proved GPUs + data + depth beats hand-engineering, redirected the field, and incidentally set NVIDIA on its current path. Every GPU cluster in this database descends from that dorm-room-scale rig.","attrs":null,"kf":null,"aliases":["AlexNet","Krizhevsky 2012"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://papers.nips.cc/paper_files/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html","label":"AlexNet paper"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T08:56:26+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}