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Amazon Lets You Spin Up A Supercomputer Cluster

Thousands of companies from Dropbox to Netflix rely on Amazon Web Services to provide storage and computing in the cloud.  Amazon's cloud computing offerings range from storage to on-demand computing cycles.

TechCrunch Erick Schonfeld

Context & Ripple Effects

This caps a four-year build-out. Amazon first removed the database scaling wall in late 2007, opened EC2 to Microsoft Windows Server workloads in October 2008, and by November 2008 GigaOM was arguing AWS was no longer just for early adopters. Each step widened the workload profile from web backends toward enterprise IT.

Supercomputing is the next rung: with thousands of companies from Dropbox to Netflix already running storage and compute on AWS, offering on-demand cluster capacity turns a retail-cloud customer base into a potential high-performance-computing market that previously required capital-intensive machines.

First-order effects

  • Researchers, labs, and enterprises that could never justify buying a supercomputer can now rent cluster-scale compute by the hour, with no hardware procurement cycle.
  • AWS's existing tenants like Netflix and Dropbox anchor demand for the platform, giving Amazon immediate utilization for capacity that would otherwise sit idle between web workloads.

Second-order effects

  • Universities and national labs that sell shared time on owned supercomputers face a metered commercial alternative priced against their internal cost recovery models.
  • Server and interconnect vendors lose the guaranteed-capex sale to anyone whose peak cluster need is occasional, shifting their pitch toward hybrid or dedicated installations.

Third-order effects

  • If on-demand clusters prove out, high-performance computing reorganizes around whoever operates elastic infrastructure rather than whoever owns the machine room — the same reversal AWS already drove in web hosting.
  • Pricing becomes the competitive frontier: once cluster capability is commoditized, the durable advantage goes to the operator that can cut unit costs fastest, which is where AWS has repeatedly pushed.

The trend: Cloud providers are absorbing successively more demanding workloads — databases, enterprise OSes, now supercomputing — converting specialized infrastructure markets into metered utilities.