Start with an “APK” for your IT
• What is it? Think of it as a major overhaul for your servers: you measure how much power, network and cooling are currently being used and where the bottlenecks are.
• Why? AI applications sometimes suddenly require a lot of computing power. If you know where you're already short, you can make targeted improvements instead of completely overhauling everything.
Use extra computing power intelligently
Back in the day, you bought one big server for everything. These days, there are modular server blocks with powerful graphics cards (GPUs). Think of them like Lego for data centers: you simply click a few GPU blocks into your existing racks, and you're done. This way, you don't have to rebuild half the data center, but you can add exactly the muscle AI needs.
Give your memory and storage some extra breathing space
AI models consume a lot of data. Two simple tricks:
- Fast memory sharing – New technology (CXL) allows multiple servers to share a single pool of RAM. This eliminates the need to install large RAM modules everywhere.
- Super-fast drives – Modern NVMe drives read and write data tens of times faster than older hard drives. They often fit in the same slots, so it's as easy as changing a light bulb.
Make sure the network doesn't get clogged
You can compare it to the highway to your office. If there are only two lanes, everything comes to a standstill when it suddenly gets busy. By upgrading network equipment to faster versions (think eight lanes instead of two), data flows more smoothly between servers, without congestion.
Keep a cool head
More computing power means more heat. Fortunately, you don't have to immediately switch to exotic cooling systems. Start with cooling doorsThese are radiator-like panels on the back of your existing racks. They dissipate heat directly and cost less than a completely new air conditioning system. If it gets even hotter later, you can switch to water cooling, but you can do this gradually.
Automate management
By running your AI software in containers (think digital moving boxes), you can automatically distribute applications across your servers. A management system like Kubernetes then automatically manages which server has space and which GPU is available. All you have to do is set up the boxes, and Kubernetes will stack them neatly.
Keep an eye on costs and safety
AI servers can be significant power hogs. Cost dashboards show you how many GPU hours and energy each project or team consumes. At the same time, you can protect sensitive data with "zero-trust networks": users only get access to what they truly need, and only for as long as necessary.
Ready to make your IT infrastructure AI-ready?
Take the first step today — schedule your 30-minute AI infrastructure session
- Take contact for a sparring call with one of our AI infrastructure specialists
- Live quick scan of your current environment (power, network, cooling)
- Personal action plan with three feasible improvement steps that you can take
