---
title: "It's worth pointing out that we have been pushing on large-scale training and asynchronous technique..."
source_name: "Jeff Dean(@JeffDean)"
original_url: "https://x.com/JeffDean/status/2047408945950802186"
canonical_url: "https://www.traeai.com/articles/ce01cb9c-6470-461f-9188-d1773f13d589"
content_type: "tweet"
language: "中文"
score: 5
tags: []
published_at: "2026-04-23T20:15:06+00:00"
created_at: "2026-04-23T23:05:51.424305+00:00"
---

# It's worth pointing out that we have been pushing on large-scale training and asynchronous technique...

Canonical URL: https://www.traeai.com/articles/ce01cb9c-6470-461f-9188-d1773f13d589
Original source: https://x.com/JeffDean/status/2047408945950802186

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Title: Jeff Dean on X: "It's worth pointing out that we have been pushing on large-scale training and asynchronous techniques for the last ~14 years.  Here's our NeurIPS 2012 paper where we demonstrated that this approach could be used to train very large neural networks (for the time: 30X larger than" / X

URL Source: http://x.com/JeffDean/status/2047408945950802186

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# Jeff Dean on X: "It's worth pointing out that we have been pushing on large-scale training and asynchronous techniques for the last ~14 years. Here's our NeurIPS 2012 paper where we demonstrated that this approach could be used to train very large neural networks (for the time: 30X larger than" / X

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[![Image 1](https://pbs.twimg.com/profile_images/935325968280907776/AcBo6zJc_normal.jpg)](http://x.com/JeffDean)

[Jeff Dean](http://x.com/JeffDean)

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It's worth pointing out that we have been pushing on large-scale training and asynchronous techniques for the last ~14 years. Here's our NeurIPS 2012 paper where we demonstrated that this approach could be used to train very large neural networks (for the time: 30X larger than any previous neural network), and to spread the training out across thousands of machines in a fault-tolerant manner. PDF: [https://static.googleusercontent.com/media/research.google.com/en//archive/large_deep_networks_nips2012.pdf…](https://t.co/UK1GlSt91h)[https://static.googleusercontent.com/media/research.google.com/en//archive/large_deep_networks_nips2012.pdf…](https://t.co/UK1GlSt91h) (This paper doesn't get as much attention because we neglected to put it on Arxiv at the time: oops!)

[8:15 PM · Apr 23, 2026](http://x.com/JeffDean/status/2047408945950802186)

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