How companies are using Civo GPUs to accelerate AI innovation without runaway costs

Accessing high-performance GPUs shouldn’t feel like a bottleneck. Yet, as AI adoption accelerates, many teams are discovering that hyperscaler offerings often come with a hidden price: long wait times, opaque billing, and layers of unnecessary complexity.

At Civo, we’ve seen a different way. Our GPUs enable companies to move faster while keeping infrastructure overhead and costs firmly under control. In this blog, we will look at how Clairo AI and Fermyon are using our GPUs for everything from enterprise generative AI to large-scale inferencing, without the usual cloud friction.

Faster access to GPUs, simpler infrastructure, and predictable costs

For AI-driven businesses, speed and simplicity are critical. Whether you are training models, running inference, or deploying production AI systems, you need GPU resources that are available on demand, without weeks of procurement or layers of configuration.

Both Clairo AI and Fermyon turned to Civo to simplify their infrastructure while gaining reliable access to high-performance GPUs.

For Clairo AI, managing Kubernetes clusters internally had become a bottleneck. The operational overhead of maintaining infrastructure was diverting valuable engineering time away from AI innovation. By moving to Civo’s managed Kubernetes environment, they dramatically reduced complexity and regained focus on building and refining their generative AI agents.

“The platform’s intuitive interface and streamlined configuration process allow us to efficiently provision and maintain the resources we need. This ensures a smooth, reliable environment for continuous testing and iteration, enabling our team to focus on innovation rather than infrastructure management.” - James Faure, Founder & CEO, Clairo

Cost predictability was another decisive factor. Like many AI companies, Clairo AI had experienced unclear billing models and unexpected charges elsewhere. Civo’s transparent pricing eliminated that uncertainty.

“Unlike other industry players, Civo doesn’t bury hidden charges or surprise you with complex egress fees - their pricing is straightforward, and that makes all the difference for businesses trying to scale efficiently.” - James Faure, Founder & CEO, Clairo

For Fermyon, the challenge was securing consistent access to high-performance NVIDIA A100 GPUs in a market where supply was constrained and pricing was volatile. Fermyon’s AI inferencing workloads required not just GPUs, but GPUs that could be reliably provisioned and optimized for production use.

“The first thing that drew us to Civo, of course, is that you had the right kind of GPUs that we needed.” - Matt Butcher, CEO, Fermyon

Innovation through partnership, not just infrastructure

While raw GPU performance is essential, both companies emphasized that support, collaboration, and ease of use were equally important.

For Clairo AI, Civo’s approach felt less like a traditional vendor relationship and more like a technical partnership. This was essential as they operate in regulated environments where data privacy and compliance are non-negotiable. This model allowed Clairo AI to confidently deploy secure, enterprise-grade AI solutions while maintaining strict standards around data sovereignty, privacy, and sustainability.

“Rather than feeling like a number, we enjoy a true partnership where Civo’s team understands our goals, provides timely insights, and aids in technical decision-making.” - James Faure, Founder & CEO, Clairo

For Fermyon, close collaboration with Civo’s engineering team helped ensure GPUs were being used as efficiently as possible for AI inferencing at scale. Ongoing conversations around optimization and deployment were critical to extracting maximum value from high-end GPU resources.

“We’ve had many conversations over time with engineers at Civo to make sure that we were using the GPU in the most effective way. That level of support has been top-tier.” - Matt Butcher, CEO, Fermyon

Predictable GPU economics in a world of AI cost uncertainty

As AI workloads scale, cost management becomes a strategic concern. Unexpected GPU costs, complex billing structures, and inefficient resource utilization can quickly erode margins.

Both Clairo AI and Fermyon benefited from Civo’s transparent pricing model, which made it easier to forecast spend, experiment confidently, and scale without fear of surprise charges. This predictability enabled faster iteration cycles and more deliberate infrastructure decisions, especially important for AI-native companies where experimentation is constant.

Across both case studies, a consistent theme emerges: by reducing infrastructure friction and cost uncertainty, Civo enables teams to focus on what matters most: building, shipping, and scaling AI products.

Summary

Civo’s GPUs provide a simpler, faster, and more predictable way to run AI workloads, whether you’re deploying enterprise generative AI platforms or scaling high-performance AI inferencing. By combining rapid GPU availability, transparent pricing, managed Kubernetes, and hands-on technical partnership, Civo helps AI-driven companies innovate with confidence.

If you’d like to explore these stories in more detail, read the full case studies:

• Clairo AI
• Fermyon