To make room for AI, modernize your data center

A new report finds the latest AMD-powered Supermicro servers can modernize the data center, lowering TCO and making room for AI systems.

Learn More about this topic

Did you know that dramatic improvements in processor power can enable your corporate customers to lower their total cost of ownership (TCO) by consolidate servers and modernizing their data centers?

Server consolidation is a hot topic in the context of AI. Many data centers are full and running with all the power that’s available. So how can they make room for new AI systems? Also, how can they get the kind of power that today’s AI systems require?

One answer: with consolidation.

Four in One

All this is especially relevant in light of a new report from Principled Technologies.

The report, prepared for AMD, finds that an organization that upgrades to new Supermicro servers powered by the current 5th generation AMD EPYC processors can consolidate servers on a 4:1 ratio.

In other words, the level of performance that previously required four older servers can now be delivered with just one.

Further, Principled found that organizations that make this upgrade can also free up data-center space; lower operating costs by up to $2.8 million over five years; shrink power-consumption levels; and reduce the maintenance load on sys admins.

Testing Procedures

Here’s how Principled figured all this out. To start, they obtained two systems:

Next, Principled’s researchers compared the transactional database performance of the two servers. They did this with HammerDB TPROC-C, an open-source benchmarking tool for online transaction processing (OLTP) workloads.

To ensure the systems were sufficiently loaded, Principled also measured both servers’ CPU and power utilization rates, pushing both servers to 80% CPU core utilization.

Then Principled calculated a consolidation ratio. That is, how many of the older servers would be needed to do the same level of work done by just 1 new server?

Finally, Principled calculated the expected 5-year costs for software licensing, power, space and maintenance. These calculations were made for both the older and new Supermicro servers, so they could be compared.

The Results

So what did Principled find? Here are the key results:

Implicit in the results, though not actually calculated, is the way these reductions could also free up funding, floor space and other resources that organizations can then use for new AI systems.

So if your customers are grappling with finding new resources for AI, tell them about these test results. Upgrading to servers based on the latest processors could be the answer.

Do More: