What are the benefits of decentralized AI infrastructure?
Written by
AI Engineer at Civo
Written by
AI Engineer at Civo
Have you ever considered how you can utilize artificial intelligence (AI) without sacrificing control over your data and autonomy? As we continue to navigate the changes of AI in the 21st century, it is important to understand how decentralized AI infrastructure can empower individuals and organizations to harness the potential of AI while maintaining sovereignty over their data and decision-making processes.
Throughout this blog, I’m going to explain the true benefits of decentralized AI infrastructure and why it’s becoming a critical consideration for enterprises.
Looking into the rise of AI adoption
At Civo, we've been tracking the rapid evolution of AI adoption closely. In a previous webinar, our Chief Innovation Officer Josh Mesout, and Chief Commercial Officer Simon Hansford, explored the growing demand for sovereign AI infrastructure. During the event, Simon spoke about the importance of generative AI, by looking at a Gartner study that predicts that 40% of enterprise applications will have integrated task-specific AI agents by the end of 2026, up from less than 5% the year prior.
As AI adoption grows, so does the gap between "we use AI" and "we use AI we can govern." Gartner expects 60% of organizations to fail to realize the anticipated value of their AI use cases by 2027 because of incohesive ethical governance frameworks. As Simon Hansford noted in Civo's March 2026 panel, The Next Wave of AI Technology, "data sovereignty is no longer a buzzword — it's a business mandate for most enterprises and nations."
The risk isn't AI itself. It's deploying AI on infrastructure where you can't answer basic questions about where data lives, who can subpoena it, or which model version made which decision.
With regulations such as GDPR in Europe and India's DPDP Act tightening the compliance landscape, the infrastructure decisions organisations make today carry significant legal and operational weight.
The EU AI Act sharpens this. High-risk AI systems now face concrete obligations around data governance, technical documentation, and human oversight. A meaningful chunk of those obligations sits with the provider, but if you're deploying AI through a stack whose data flows you don't control, you inherit the unknowns. Sovereignty isn't a marketing word anymore. It's an audit question.
The importance of decentralized AI infrastructure
Charlyn Ho released an article looking into decentralized AI, where they defined it as:
“Decentralized AI combines the power of AI with blockchain technology, often relying on AI crypto tokens to enable transactions within its ecosystems. These tokens serve multiple roles: granting access to AI-driven services like predictive modeling, incentivizing participation in collaborative networks, and facilitating governance by allowing token holders to engage in decision-making processes.”
Charlyn Ho, CEO of Rikka
Decentralized AI infrastructure offers a solution to the concerns around data privacy and sovereignty. By moving away from centralized AI infrastructure models, enterprises can ensure that their data remains within their control, subject to local laws and regulations. This approach also enables the use of open-source models, which are becoming increasingly comparable to closed-source models in terms of performance.
When we take a closer look at how decentralized AI infrastructure can benefit us, there are several core benefits to consider:
How is Civo approaches this
We built relaxAI to put each of those four into practice. relaxAI is hosted entirely in UK and Indian data centres, on infrastructure Civo operates. Data never crosses foreign borders, and is not subject to foreign laws. This approach enables enterprises to use AI solutions while maintaining control over their data.
The wider Civo platform is where this scales. Our "Built for More" plan, announced at Civo Navigate London 2025, includes a second European region landing mid-2026, alongside the existing UK, German, Indian, and US regions. The point isn't that we have a lot of regions. It's that you can pick the one whose laws you actually want governing your workloads, instead of inheriting whatever jurisdiction your provider defaults to.
Why does this matter? At Civo Navigate India 2025, a panel of experts explored the real-world risks of running on infrastructure that organizations don't fully control. Rahul Poruri, CEO of FOSS United, shared a story that puts the stakes into sharp focus. Nayara, a downstream oil and gas operator and one of India's largest petrol station networks, lost access to all Microsoft services overnight after the US imposed sanctions on Russia, a country with part ownership in the company. As Rahul put it during the session:
"Imagine if all of you lost access to your email one fine day and you don't get it for weeks, months. How exactly would your organization go ahead?"
Rahul Poruri, CEO of FOSS United
It's not a hypothetical. It happened. And it's exactly the kind of dependency risk that decentralized AI infrastructure is designed to address.
Resources
We have a bunch of great resources on artificial intelligence and the benefits of relaxAI that you can check out here:
AI Engineer at Civo
Ben Norris is an AI Engineer at Civo with a background in machine learning, platform engineering, and DevOps. His work focuses on building and deploying AI-driven applications and scalable infrastructure that powers modern data and machine learning workloads.
Before joining Civo, Ben worked as a DevOps Engineer at Bupa, improving cloud automation and reliability across engineering teams. He previously spent nearly three years as an AI Platform Engineer at AstraZeneca, contributing to platforms that supported machine learning and data science workflows in large-scale research environments.
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