Zero infrastructure management
We handle the hardware together with Seeweb
When you use Regolo.ai to access artificial intelligence models via API, you don’t need to worry about what happens behind the scenes. Supporting it all is Seeweb’s GPU infrastructure, which provides accelerated, modular, and pay-as-you-go computing resource. This means you always have the power
you need, without ever having to configure or manage physical servers.
Seeweb integrates some of the most advanced GPUs available on the market today in its cloud, such as NVIDIA H100, A100, L40S and more. These graphics cards, designed for complex AI workloads, are delivered through a cloud infrastructure that supports ready-to-use stacks, automation, custom
images and Kubernetes orchestration.
An example is the Serverless GPU service, which allows for instant GPU provisioning with a pay-as-you-go model: perfect for AI inference applications that need to scale quickly without wasting time managing hardware.
One of the main advantages of this architecture is its ability to dynamically adapt to workload demands. Whether you are running a small experiment or a large-scale production system, the GPUs automatically adjust to your needs.
In addition, Seeweb ensures compatibility with APIs, Kubernetes, and automation tools, making it easy to integrate into existing environments. On top of that, technology partnerships – such as with VAST Data for the storage – guarantee a data-centric, high-performance GPU platform designed specifically for the European context.
Choosing Regolo.ai means gaining immediate access to all this power without the complexity of managing it yourself. Here it is a list of the main benefits of this architecture:
With Regolo.ai and Seeweb, the power of next-generation GPUs becomes invisible: you focus on your
models, and we take care of the rest.