How 'Hyperscalers' are Innovating — and Competing — in the Data Center
a16z Podcast10 Dec 2021

How 'Hyperscalers' are Innovating — and Competing — in the Data Center

Innovation in the data center has been constrained by the traditional model of suppliers providing fixed-function chips that limit how much the biggest data center operators can differentiate. But programmable chips have emerged that allow these companies to not only increase performance, but innovate throughout the pipeline, from operating system to networking interface to user application.

This is a major trend among "hyperscalers," which are some of the world’s most well known companies running massive data centers with tens of thousands of servers. We’re talking about companies like Amazon, Facebook, Microsoft, Google, Apple, Alibaba, Tencent.

To talk about the trends in data centers and how software may be “eating the world of the data center,” we talked this summer to two experts. Martin Casado is an a16z general partner focused on enterprise investing. Before that he was a pioneer in the software-defined networking movement and the cofounder of Nicira, which was acquired by VMWare. (Martin has written frequently on infrastructure and data-center issues and has appeared on many a16z podcasts on these topics.)

He’s joined by Nick McKeown, a Stanford professor of computer science who has founded multiple companies (and was Martin’s cofounder at Nicira) and has worked with hyperscalers to innovate within their data centers. After this podcast was recorded, Nick was appointed Senior Vice President and General Manager of a new Intel organization, the Network and Edge Group.

We begin with Nick, talking about the sheer scale of data-center traffic.

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a16z Podcast: From Mind at Play to Making the Information Age

a16z Podcast: From Mind at Play to Making the Information Age

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a16z Podcast: The Curious Case of the OpenTable IPO

a16z Podcast: The Curious Case of the OpenTable IPO

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a16z Podcast: Making a (Really) Wild Geo-Engineering Idea Real

a16z Podcast: Making a (Really) Wild Geo-Engineering Idea Real

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a16z Podcast: Addiction vs Popularity in the Age of Virality

a16z Podcast: Addiction vs Popularity in the Age of Virality

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a16z Podcast: The Golden Era of Productivity, Retail, and Supply Chains

a16z Podcast: The Golden Era of Productivity, Retail, and Supply Chains

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a16z Podcast: The Cloud Atlas to Real Quantum Computing

a16z Podcast: The Cloud Atlas to Real Quantum Computing

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30 Juni 201725min

a16z Podcast: Companies, Networks, Crowds

a16z Podcast: Companies, Networks, Crowds

Is a network -- whether a crowd or blockchain-based entity -- going to replace the firm anytime soon? Not yet, argue Andrew McAfee and Erik Brynjolfsson in the new book Machine, Platform, Crowd. But that title is a bit misleading, because the real questions most companies and people wrestle with are more "machine vs. mind", "platform vs. product", and "crowd vs. core". They're really a set of dichotomies. Yet the most successful systems are rarely all one or all the other. So how then do companies make choices, tradeoffs in designing products between humans and machines, whether it's sales people vs. chatbots, or doctors vs. AIs? How can companies combine the fundamental building blocks of businesses -- such as network effects, platforms, crowds, and more -- in a way that lets them get ahead on the chessboard against the Red Queen? And then finally, at a macro level, how do we plan for the future without falling for the "fatal conceit" (which has now, arguably flipped from radical centralization to radical decentralization) ... and just run a ton of experiments to get there? We (Frank Chen and Sonal Chokshi) discuss all this and more with Brynjolfsson and McAfee, who also founded MIT's Initiative on the Global Economy -- and previously wrote the popular The Second Machine Age and Race Against the Machine. Maybe there's a better way to stay ahead without having to run faster and faster just to stay in place like Alice in a tech Wonderland.

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a16z Podcast: Lobbying Tech

a16z Podcast: Lobbying Tech

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