Advantages of Nvidia's Remote Data Centers and Limitations of AI in 2015

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This chapter discusses the benefits of Nvidia's remote data centers and explores the constraints of AI in 2015, including data training and algorithmic capabilities. It mentions Andre Carpathie's influential blog post on neural networks and the potential of training chatbots using large amounts of data.

It’s a(nother) new era for Nvidia.

We thought we’d closed the Acquired book on Nvidia back in April 2022. The story was all wrapped up: Jensen & crew had set out on an amazing journey to accelerate the world’s computing workloads. Along the way they’d discovered a wondrous opportunity (machine learning powered social media feed recommendations). They forged incredible Power in the CUDA platform, and used it to triumph over seemingly insurmountable adversity — the stock market penalty-box.

But, it turned out that was only the precursor to an even wilder journey. Over the past 18 months Nvidia has weathered one of the steepest stock crashes in history ($500B+ market cap wiped away peak-to-trough!). And, it has of course also experienced an even more fantastical rise — becoming the platform that’s powering the emergence of perhaps a new form of intelligence itself… and in the process becoming a trillion-dollar company.

Today we tell another chapter in the amazing Nvidia saga: the dawn of the AI era. Tune in!

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