x
Loading
 Loading
Hello, Guest | Login | Register

Building a (Very) Low Cost Cluster

You don’t need a ton of cash to build a cluster. For a little over$ 1,000, you can even build one for use at home.

Businesses and organizations are often reluctant to invest in new technologies, particularly if the investment is perceived to be large or if the technology is sufficiently different from the organization’s established technology. But such fears can limit the adoption of Linux and cluster computing innovations, even when those initiatives might save considerable time and money.
Fortunately, getting started or just experimenting with Linux and clusters can be done on a very small budget. Whether the goal is redundant, highly-available enterprise applications or high-performance computing (HPC), you can start small and grow the system as needed. And with the right applications or models, you can get as much performance as you can afford.
But for an organization with no means of launching a new information technology or HPC initiative, what’s the best way to get your feet wet? One way to experiment with cluster technology is to acquire a few old personal computers, hook them up, and load a Linux cluster distribution on them. While this approach has been shown to work (read about building the Stone SouperComputer before at http://www.linux-mag.com/1999-05/extreme_01.html), it has some disadvantages if the hardware is insufficient or if the nodes are too different from one another in speed or capability.
Another alternative is to contact one of the many fine cluster integrators. (Some of them advertise here in the pages of Linux Magazine.) Many of these integrators are willing to work with people to design and build a cluster to meet…

Please log in to view this content.

Not Yet a Member?

Register with LinuxMagazine.com and get free access to the entire archive, including:

  • Hands-on Content
  • White Papers
  • Community Features
  • And more.
Already a Member?
Log in!
Username

Password

Remember me

Forgotten your password?
Forgotten your username?
Read More
  1. Scheduling HPC In The Cloud
  2. GP-GPUs: OpenCL Is Ready For The Heavy Lifting
  3. HPC Madness: March Is More Cores Month
  4. HPC Turn-Offs: Power Control
  5. The Cost to Play: CUDA Programming
Follow Linux Magazine
Rackspace