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Chip Measuring Contest:The benefits of purpose-built chips

机译:芯片测量竞赛:专用芯片的好处

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Alan Kay once said, "People who are really serious about software should make their own hardware." We are now seeing product companies genuinely live up to this value. On August 19, 2021, Tesla showed off Dojo, its new chip used for training neural networks. You might imagine the lead of an article about this something along the lines of, "A company that is not in the business of making chips, made its own chip for its own specific use case, wat!" That part of the announcement was not so shocking because it was something seen before with Tesla and its FSD (full self-driving) computer, with Cisco and its network ASICs, and recently with Apple's M1 chip. In reality the shocking part of the Tesla announcement was not their chip but their humanoid robot, but we'll save that for another article.
机译:艾伦凯曾经说过,“真正认真对软件的人应该制造自己的硬件。” 我们现在看到产品公司真正辜负这个价值。 2021年8月19日,特斯拉展示了Dojo,其新芯片用于训练神经网络。 您可能会想象一下这篇文章的领导者沿线,“一家不在制作芯片业务的公司,为自己的具体用例而制作自己的芯片,Wat!” 该部分公告并不是那么令人震惊,因为它是在特斯拉及其FSD(全自动驾驶)计算机上看到的东西,与思科及其网络ASICS,最近与Apple的M1芯片有关。 实际上,特斯拉公告的令人震惊的部分不是他们的芯片,而是他们的人形机器人,但我们将为另一篇文章保存。

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