Grid Computing

Do you want to wait forever?

If not then let us help you design, deploy and manage your own grid without buying not even one computer.

Building your own infrastructure for grid applications requires capital investment, facilities, space, and time – and no matter how big you build it, it may still not be enough. Having to choose between overspending or under-provisioning is a classic dilemma.

By deploying your grid in the cloud, you gain on-demand access to virtually infinite computing resources without the upfront investment. No more scheduling gymnastics, users waiting in line for others' jobs to complete, or constraints on the number of servers available at any given time. On the cloud, it costs the same whether you have 100 servers working for 10 hours or 1,000 working for one hour. You gain access to compute resources to meet peak loads with on-demand scalability – and you choose how fast you want the results.

 

Real-world examples of grid systems include:

 

• Pharmaceutical Analysis – Researchers usually expect a protein analysis comparing million of compounds to take a week of processing on internal servers. Using hundreds of servers in the cloud, the job could be completed in one day.
  
  
• Insurance Claims Loss Control – Systems for detecting fraudulent, improper or duplicate claims in batches of millions of claims required months of processing time to run and millions of dollars in capital outlay to build. Using the cloud, these batch runs now can finish in a few days.
  
  
• Web 2.0 Media Rendering & Transcoding.
  
  
• Finite elements analysis of complex structures can now finish in a few hours.

 

If your analysis is time-sensitive, being able to scale your grid application to minimize time can have a major impact on your response time to customers or time-to-market for new products and services.

 

What you might want to know....