NewIntroducing Claudie

Advanced cloud-native infrastructure consulting, Kubernetes and DevOps transformations.

We build tailored infrastructures so that our clients iterate quickly and yield results fast.

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AI services on Kubernetes

Inference tuned to your models,
scaled to your traffic.

We design, fine-tune, and run AI inference on the infrastructure you already have. Otherwise we build it for you.

Your cluster, or one we run

Already on Kubernetes? We tune and operate inference on it. Need cheaper GPUs? We provision a cluster with Claudie, our open-source project that spans 13+ providers, so your models land on the lowest-priced GPUs available without vendor lock-in.

Serving tailored to your models

We match the serving engine to each model: vLLM for LLMs, Triton for multimodal, llama.cpp for CPU and edge. KServe or KubeAI orchestrates them behind one OpenAI-compatible endpoint.

Scale to zero, pay per token

GPU replicas scale up on demand and all the way back to zero when idle, so your bill tracks the tokens you actually serve, not hardware sitting warm overnight.

Fine-tuned to your domain

Need more than off-the-shelf accuracy? We fine-tune open models on your data, full or LoRA, and serve them on the same cluster.

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What we build

Infrastructure that holds up
Hybrid-cloud architecture

Weconnecton-prem,hyperscalers,andedgeproviderssoworkloadslandwheretheyshould—reachablefromeverywhereelse.

Hybrid-cloud architecture

One stack across every cloud you run on.

We connect on-prem, hyperscalers, and edge providers so workloads land where they should, and stay reachable from everywhere else.

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Kubernetes operations

Clusters that don't wake you up at night.

We design, run, and harden Kubernetes, from a lean single-cluster startup setup to multi-cluster fleets with audit-ready governance.

We run your clusters across any mix of clouds and on-prem from one control plane, using Claudie, the open-source platform we build and maintain. Upgrades, patching, scaling, and backups run on a schedule we set with you, so the day-2 work doesn't pile up.

We build clusters with GPU scheduling wired in, so training jobs and inference services land on the right hardware without fighting for it. Device plugins, node pools, and autoscaling are tuned for AI workloads, and we keep expensive GPUs busy instead of idling on your bill.

We wire up Prometheus, Grafana, Loki, and tracing so you can see what each workload is doing. Alerts and dashboards are built around your SLOs, not vendor defaults, so your team isn't drowning in noise at 3am.

RBAC, network policies, secret management, and policy-as-code go in when we build the cluster, not after an audit flags them. Every change is logged, so when compliance asks who changed what, you have the answer.

We build GitOps pipelines that deploy on merge, with automated tests, gradual rollouts, and a rollback that's one command away. Shipping stops being the scary part of the week.

We start by mapping what you run and what depends on what, then move workloads in stages instead of one risky cutover. Your systems keep serving traffic while we shift them underneath, whether that's cloud-to-cloud or on-prem into the cloud.

DevOps and development support

Pipelines and automation that actually ship.
Reduce your time-to-market.

Containerization, IaC, and CI/CD that match how your team works, not a template forced on top of it.

Our portfolio

Trusted with production Kubernetes

We've run other people's clusters in production, from managed platforms to GitOps automation. Here are a few of the teams we've worked with.

See our work

Certified expertise

Backed by the platforms we run.

Certified Kubernetes Administrator (CKA)
Certified Kubernetes Application Developer (CKAD)
HashiCorp Certified: Terraform Associate
Google Cloud Professional DevOps Engineer
Google Cloud Professional Cloud Architect

We're hiring:
from clusters to dreams

View Open Positions

Frequently Asked Questions

Everything you need to know about running Kubernetes with us. Still have questions? We're happy to talk it through.

Get in touch

Both. We design and harden clusters, then run day-2 operations — upgrades, patching, scaling, backups and incident response. The goal is clusters that stay healthy without waking your team at night.

Yes. We start with an assessment of your current setup, document the gaps and risks, then take over operations incrementally so there's no big-bang migration.

Claudie is our open-source platform for building and managing multi-cloud and hybrid Kubernetes clusters from a single control plane. We author and maintain it, so we can support it deeply when it's part of your stack.

We build CI/CD and GitOps pipelines that fit your existing tools and workflow, with automated testing, safe rollouts and rollbacks so shipping changes is routine rather than risky.

We're a remote-first team based in Europe and cooperate near-shore with clients across the region, so there's strong working-hours overlap and easy collaboration.

It usually begins with a short conversation about your goals and current setup, followed by an assessment. From there we propose a concrete, prioritized plan.

Trusted by experts.

Used by the leaders.

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