Operations | Monitoring | ITSM | DevOps | Cloud

At Civo Navigate London 2025, we hosted a panel discussion with Josh Mesout, James Faure, Abdul Hummaida, Jonas Vermeulen, and Daniel Miodovnik to discuss the latest trends and challenges in AI adoption. Through this conversation, the panelists covered topics such as the current state of AI adoption to the challenges of scaling AI, and the future of work.

The world remains abuzz with AI hype, but the reality is that most modern applications aren’t purely AI workloads. The average company will have web services, APIs, databases, and background jobs running alongside its machine learning inference or training components. An architecture question everyone faces: should your Kubernetes cluster and GPU compute live in the same data center, or can you split them across providers?

The world of cloud computing is undergoing a significant transformation, driven by the rapid adoption of Artificial Intelligence (AI). As AI continues to evolve and improve, it's becoming increasingly clear that access to advanced AI infrastructure is crucial for businesses to remain competitive. During Civo Navigate London 2025, Josh Mesout spoke about the importance of of AI for the future of cloud computing and how Civo is working to democratize access to advanced AI infrastructure.

What makes GPUs so crucial for AI workloads? Is it just about raw processing power, or is there more to it? As we explore the world of AI infrastructure, understanding the role of GPUs is essential. Let's dive into the math behind AI. At its core, AI is all about mathematics, and matrix multiplication is a critical component. Whether you're training a model to recognize images or predict outcomes, the data is converted into massive arrays or matrices of numbers.

As organizations increasingly rely on cloud computing to drive their businesses forward, a critical question arises: what happens when the cloud is no longer a trusted partner? This was a key theme explored at Civo Navigate London 2025, where Civo's leadership team shared their insights on the future of cloud computing and the growing importance of sovereign cloud solutions.

The third Civo Navigate London event has come to an end - and as you might be able to tell, this was an extra special one with some big changes for Civo First, a huge thank‑you to our amazing sponsors, attendees, speakers for making this event possible.

If you could run public and private cloud like they were the same place, what would that unlock for your teams? That was the core message of our Navigate London keynote, and it matters just as much to readers in Singapore or Seattle as it does to those who joined us in person. For years, the industry has made you choose. Public cloud on one track. Private cloud on another. Different APIs, different skills, different bills, and a rewrite every time you move.

Scaling workstation deployments is never straightforward. IT teams need to balance performance, cost, manageability, and security, but the trade-offs between approaches can be significant. In this blog, we’ll walk through the three most common deployment models, highlight their limitations, and introduce how newer solutions like Computle illustrate a different path.

The cloud industry is at a crossroads. As conversations around data sovereignty and market competition reach a fever pitch, Civo is shaping the future. We're excited to share major updates to our AI platform, provide a deeper look into the evolving cloud landscape, and get you ready for our most anticipated events of the year.

The UK’s Competition and Markets Authority (CMA) recently published its final verdict on the state of the cloud industry. While the tone may have softened since its initial findings, the conclusion was still damning: hyperscalers like AWS and Microsoft continue to unfairly dominate the cloud market through opaque, inflated pricing and technical lock-in strategies.