How much does a personal supercomputer cost?
Table of Contents
How much does a personal supercomputer cost?
Silicon Graphics International today unveiled a “personal supercomputer,” called the Octane III, with a price tag that starts at $7.995. Silicon Graphics International today unveiled a “personal supercomputer,” called the Octane III, with a price tag that starts at $7.995.
Can you buy supercomputers?
Now, companies like Procter & Gamble (PG) and PayPal are buying their own supercomputers. “They have problems that are more complicated, but also because it’s become a lot more affordable,” IDC’s Conway said.
Can anyone build a supercomputer?
So, although you could (theoretically) build your own supercomputer, the reality is that most companies never need that level of processing power. The cluster technologies underlying modern supercomputers is important however – they show the value and potential of using off-the-shelf servers.
Why are supercomputers not portable?
Although there is some amount of portability across today’s supercomputers, current systems cannot adapt to the wide variance in basic costs, such as communication overhead, bandwidth and synchronization.
How much does it cost to rent a supercomputer?
Rent the world’s 30th-fastest, 30,472-core supercomputer for $1,279 per hour | ExtremeTech (from 2011, but you get the idea) There’s a sliding scale from a few instances in public-facing clouds up to much, much bigger systems that require a decent amount of paperwork (and a working knowledge of FORTRAN), but everything’s available, for a price.
What should I expect from owning a supercomputer?
As someone who manages computing systems at a supercomputing center, I can tell you some of the things you should expect from owning a supercomputer: Astronomical power bill. An average computing server equipped with enterprise-grade CPUs and GPU accelerators runs on about 1500W of power.
Do we really need a supercomputer for deep learning?
According to IBM Research, the most common deep-learning workloads, such as speech recognition or image classification, rarely require the high levels of precision needed for traditional supercomputer workloads like calculating space-shuttle trajectories or simulating the human heart.