In 2026, artificial intelligence is no longer a technological promise: it is a lever of operational transformation for companies of every size. But to take full advantage of it, you still need a cloud infrastructure that is suitable, performant and under control.
Generative AI is accelerating demand for infrastructure
With the rise of language models (LLM), autonomous agents and generative AI applied to business, the needs in compute power, storage and network have exploded. Traditional architectures are no longer enough: what is required are cloud environments that are elastic, secure and cost-optimised.
At Premaccess, we have been supporting our clients through this transition for more than 20 years. Our approach rests on three pillars: closeness, trust and technical innovation.
The 3 key challenges of an AI-ready infrastructure
Automatic scalability: AI workloads are unpredictable. A well-designed cloud platform has to adapt to the load in real time, with no manual intervention.
Cost control (FinOps): GPU instances and inference services can quickly send the bill through the roof. A rigorous FinOps strategy is essential.
Security and compliance: The data processed by AI is often sensitive. Encryption, access governance and GDPR compliance remain priorities.
Our BAM platform (Build - Automate - Manage) makes it possible to deploy, secure and optimise cloud infrastructures through a single interface. It natively includes FinOps best practices, advanced monitoring and deployment automation — features that are essential for projects involving AI.
With BAM, our clients cut their infrastructure costs by up to 50% while gaining in agility and security.
Whether you are considering a migration to the cloud, the integration of AI services into your information system, or simply the optimisation of your existing infrastructure, our team is here to listen. Contact us at contact@premaccess.com for an initial conversation with no obligation.
Do you need more information? Contact us!