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For organizations that want to keep up with any technological innovations, flexibility and agility are essential.
This is no different with AI.
And like any modern and complex program, AI requires an open, vendor-agnostic, and hybrid-agnosticIT infrastructure.
Director, Hybrid Cloud Platforms, Red Hat.
Hybrid cloud for flexible AI use
AI toolsare, of course, anything but simple.
An additional consideration is whether organizations want to store all their data in the public cloud.
These challenges and risks can be better managed in a hybrid environment.
Hybrid does not only mean using a private and public cloud side by side.
A hybrid cloud environment means that the different clouds are aligned and integrated within one flexible infrastructure.
This orchestration is the key to uniting the benefits of on-premises, private cloud, and public cloud.
A similar hybrid cloud approach offers several advantages for AI use.
Second, it supports scalability.
Third, it optimizes costs.
By leveraging both private and public cloud resources, companies can better optimize theircloud computingcosts.
An open infrastructure for trust in AI
Trust plays a special role in the use of AI.
Automation is important to streamline the development process and prevent human errors.
Small language models (SLMs) also play a role here.
Keep your options open
As AI development accelerates, companies will need to pursue flexibility and openness.
This means organizations must keep their options open regarding infrastructure.
We’ve compiled a list of the best cloud storage.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
