Tech & Software
Development
Tech and software development is characterized by project-based work. That requires the ability to quickly scale up IT capacity. But once a project is complete, you also want to be able to easily scale back down.
Situation overview
Software development is constantly evolving. When starting new projects, additional resources are needed quickly and capacity must be scaled up. Moreover, with the rise of AI, the demand for computing power and powerful hardware is growing exponentially. Due to the cyclical nature of software development, scaling down capacity is just as important: After all, once a project is completed, the extra resources are no longer needed. Flexibility in scaling the IT infrastructure up and down gives development more freedom of movement.
We understand your challenges
Need for flexible deployment of resources and capacity
The ability to switch quickly when needs change (temporarily)
Quickly scale up and down when the workload demands it
Everything in-house, meaning you’re not locked into long-term contracts, but still have the flexibility you need
AI development requires high and stable power capacity in data centers
Our data centers don’t experience grid congestion, so they can handle demanding AI projects
Great need for high-quality software and hardware modules
A wide selection of software and hardware applications, for a tailored solution
Cases
Worldstream and software development
At Worldstream, we have everything in-house, from data centers to cloud technology. This allows us to quickly adapt when needs or preferences change. This is especially helpful when you need more capacity or computing power quickly due to demanding projects. Just as easily as we can scale up, we can scale back down again once projects are completed or when less intensive IT support is needed. Since we manage everything in-house, you’re not tied to long-term contracts and have the flexibility to make adjustments as your situation demands. AI is now a critical part of the software development world. The power consumption required for AI is on a completely different scale compared to traditional IT. Our in-house, European-owned data centers are prepared for this and can meet higher power requirements. Additionally, we don’t experience grid congestion in the vicinity of our data centers, which makes future expansion possible.
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