Today, for most of our clients, the priority is no longer massive migration to the cloud, but building an infrastructure tailored to business needs—at the right cost.
By the end of 2025, the requirements of running generative AI models could consume up to 49% of total cloud infrastructure capacity. This shift is already underway and, as AI-related expenses grow, public cloud costs are becoming a real challenge for businesses.
The all-public-cloud approach is now outdated. To save both resources and money, companies are moving towards hybrid architectures.
To optimize cloud costs, you need to:
Thoroughly analyze current usage and expenses,
Identify overly expensive public cloud workloads,
Adopt a smarter, more granular approach to cloud usage.
Private clouds are now designed to support AI while safeguarding data sovereignty, and providers are adapting quickly.
This is where performance and capacity testing come in—helping size and validate cloud infrastructures.
The next step is to design a coherent hosting strategy: factoring in data criticality, performance requirements, and regulatory constraints. The goal is not to follow the latest trend, but to make decisions aligned with your business and clearly demonstrate the return on investment of hybrid and private cloud initiatives.
In 2025, the winners won’t be those who spend the most, but those who implement intelligent, flexible, and high-performing cloud architectures aligned with their business objectives.
The time to act is now—before the market forces you to catch up.