• Breaking News

    Thursday, March 3, 2022

    Value Investing Planetary-Scale Computation: An industry primer on the hyperscale CSP oligopoly (AWS/Azure/GCP)

    Value Investing Planetary-Scale Computation: An industry primer on the hyperscale CSP oligopoly (AWS/Azure/GCP)


    Planetary-Scale Computation: An industry primer on the hyperscale CSP oligopoly (AWS/Azure/GCP)

    Posted: 03 Mar 2022 12:26 PM PST

    I wrote a multipart primer on the public cloud infrastructure industry and the relation of the industry's three-member oligopoly to the broader cloud ecosystem (ex-China). The primer is divided into five sections, with the main section composed of three subsections:

    1. Let's Get Physical, (Cyber)Physical!: Flows of Atoms, Flows of Electrons [Notion only]
    2. A Cloudy History: Four Histories of Cloud Computing [Mirror.xyz] [Notion]
    3. Primer on the Economics of Cloud Computing [Mirror.xyz] [Notion]
    4. Three-Body: Competitive Dynamics in the Hyperscale Oligopoly [Mirror.xyz] [Notion]
      1. Initial Positions and Laws of [Competitive] Motion [Mirror.xyz] [Notion]
      2. Mass and the Law of [Economic] Gravitation [Mirror.xyz] [Notion]
      3. Velocity and the n-body problem [Mirror.xyz] [Notion]
    5. The Telos of Planetary-Scale Computation: Ongoing and Future Developments [Notion only]

    [Sidenote: Notion provides more dynamic affordances for content presentation than Substack/Mirror.xyz/Medium, such as embedding dynamic content, in-line comments, collapsible text, linking to specific in-page locations, etc. By contrast, Mirror.xyz mirrors consume less RAM and are more phone compatible than the Notion mirrors. Although I recommend the Notion view, both are available.]

    This primer's main section, "Three-Body: Competitive Dynamics in the Hyperscale Oligopoly", is the section of most relevance from a business/industry analysis perspective. This section is extensive so I've made a partial outline of this section for convenience (i.e., what I think might be of most interest to analysts):

    • Initial Positions and Laws of [Competitive] Motion addresses ...
      • current strategic positioning of the Big Three; the effect of COVID on positioning
      • an attempt at explaining the triopolistic (as opposed to fragmented or monopolistic) industry structure of cloud infrastructure [i.e., "Why three hyperscalers?"]
      • on the applicability of Christensen's modularity theory towards the cloud computing industry; how an analysis of cloud computing is a natural extension of Christensen's work on the computing industry in The Innovator's Solution
    • Mass and the Law of [Economic] Gravitation addresses ...
      • global public SaaS revenue run rates at 2-3x that of public IaaS+PaaS; napkin math on how aggregate enterprise value of cloud software companies is roughly 2.7x that of hyperscalers'
      • framing evolution of IaaS industry margin as a function of evolution of compute demand and of compute supply/capacity
      • framing compute demand as primarily a function of computation per capita (CPC) & claiming that the subdrivers of CPC will be based on
        • use-case agnostic overhead from privacy-oriented cryptography and AI/ML workloads
        • key use cases in the form of personal finance, personal health (incl. genomics, biometrics), and "Metaverse" workloads
      • a look into Facebook's existing workloads & my hypothesis on why they partnered with AWS
      • deep dive on already existing (i.e., not hypothetical) computational realities of "Metaverse" workloads from recent AWS re:Invent keynotes and breakout sessions regarding their new MMO, New World, and an simulation case study from AWS; highlighting current AWS thinking around "the Metaverse" as explicated in recent interviews [interviews that few people are paying attention to as evidenced by viewcounts]
      • a look at CapEx and server/equipment depreciation
    • Velocity and the n-body problem addresses ...
      • parameterizing the X eating Y narrative (i.e., Software eating world, Cloud eating software, Multi-cloud eating cloud, etc.) as X modularizing and commoditizing Y to reintegrate into X's interdependent value prop
      • a value chain breakdown/mapping for the public cloud industry through a modularity/interdependence perspective; my personal views on the Cloud ecosystem
      • a summary of the a16z "cost of cloud" debate; why the ISV/hyperscaler frenemy dynamic & the move towards multi-cloud has acted as a motivator for continued vertical integration by hyperscaler CSPs
      • on hyperscaler vertical integration, both backwards and forwards; on what "industry cloud" is and how integrated hardware/software for AI/ML "solutions" might act as a point value chain reintegration for hyperscalers

    An exhaustive point-by-point breakdown of the entire primer can be found in this Figma map for people who want to skim/explore the primer's claims without committing to reading it. The Figma map for the public cloud value matrix can be found here. The location of my personal views/conclusions of the cloud ecosystem that accompany the value chain mapping is here (link to location of in-page Notion block).

    This primer's focus is competitive dynamics first and financial analysis second financials and metrics are employed towards painting the competitive landscape and not the other way around. Beyond the general lack of primers for cloud infrastructure and hyperscaler IaaS, a large reason why I am publishing this primer is because I feel that the space is more interesting than what prevalent surface-level discussion might suggest [i.e., Every earnings season you'll find the exact same "AWS/Azure/GCP grew X% on a Y billion base beating/missing expectations by Z%!" takes as last quarter]. The highly modular nature of the cloud computing industry [i.e., Computing is the ultimate "modular" industry, which is probably why Christensen focused so heavily on the computing industry in articulating his modularity theory] and the oligopolistic structure makes it a perfect case study for both Christensen's modularity framework and Porter's frameworks around oligopolies which he develops in Competitive Strategy and an industry case study titled Capacity Expansion in a Growing Oligopoly.

    My thesis is that a combination of these (and other) competitive frameworks can be employed to provide a unifying context for multiple distinct narratives about the Cloud, including but not limited to: "commoditization" of IaaS, The Tech Monopolies Go Vertical, how the cloud will be reshuffled, Trillion Dollar Paradox, ISVs vs Hyperscalers, hybrid/multi-cloud, the emergence of Cloudflare's modular cloud, etc. — this primer is an attempt to link all of these disparate threads together. I also try to answer overlooked or "obvious" questions like: Why three hyperscalers? Why those three? What prevents industry overcapacity? Why do CSPs even replace servers if they don't actually break down in 3-5 years? What keeps every company from simply switching over to Graviton if the price-performance is so good? Etc.

    This is an ambitious project and I would not consider myself an expert, so feedback is welcome.

    submitted by /u/Tao_te_Cha_Ching
    [link] [comments]

    No comments:

    Post a Comment