What is a Scale Up Server?

A scale up server increases its workload capacity by adding memory and processing power, e.g. building "up" vs. "scale out" or adding server units.

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Scale up server definition

There are two fundamental approaches to addressing increasing workloads: "Scale Up" meets the challenge through a bigger, more powerful server with added memory and compute capacity. This vertical building "up" of the server contrasts with the “scale out” approach, which adds server units to the workload horizontally. A scale up server is one that is designed to enable the simple and cost-effective addition of system resources to itself, enabling the "scale up" approach to work.

Why scale up servers?

Scale up servers are valuable in a number of scenarios, including:

  • When the workload itself is best performed on fewer machines, each with a high level of compute power
  • When physical space and/or electrical power is limited and a small number of high-powered servers are more suitable than a large number of low-power ones
  • When software licensing factors favour the use of fewer servers
  • When the complexity of setting up a “scale out” collection of servers is not justified by the workload

HPE scale up server

The HPE ProLiant family of servers offers some of the industry’s best scale up features. These include the HPE ProLiant DL560 and BL660c Gen9 Servers, which provide dense compute, right-sized storage and a large memory footprint. These two servers took the #1 4P world records for both max-jOPS and critical-jOPS in the MultiJVM category on the SPECjbb20152 benchmark. The DL560 Gen9 is the world’s most energy-efficient 4P server, winning three world records on the SPECpower_ssj20082 benchmark.

Learn More About HPE Scale Up Servers

Scale up with HPE ProLiant

Speak to an expert about how HPE ProLiant servers can help you triumph over your most challenging scale up workloads.

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Resources

Blog Post

Raising the Bar for Scale-Up Performance from Converged Infrastructures

Resources

Blog Post

Raising the Bar for Scale-Up Performance from Converged Infrastructures