Deploy models, RAG systems, AI applications and agents on managed UK or EU infrastructure without building the operational platform around them. Bring us your application, model, container, prototype or architecture — we'll help determine what it needs underneath.
Private and open-weight models · model serving and inference · RAG infrastructure · vector and data services · AI applications · AI agents and agent runtimes · model APIs · GPU compute · Docker workloads · Kubernetes workloads · storage and networking · observability and monitoring.
Agent systems can require more than inference: persistent runtime, model access, tool and API connectivity, state and storage, queues, databases, secrets, networking, authentication, scheduled or background execution, observability, resource isolation and scaling. Polar can operate the infrastructure underneath these workloads — internal agents, workflow agents, research agents, customer-facing agentic applications, multi-agent systems, and agents embedded within SaaS products. We don't claim to design your agent's behaviour unless that's a service we've explicitly agreed to provide.
We design around the workload rather than forcing applications into a fixed Polar architecture. Depending on what you're running, that can involve Kubernetes, Docker, vLLM, LiteLLM, vector databases, Open WebUI and NVIDIA GPU infrastructure — layered from application or agent, through API/gateway, model routing, inference, RAG and data, containers, compute, and storage/network, on UK or EU infrastructure.
A Docker image, a Git repository, Kubernetes manifests, a RAG prototype, a local model, an existing cloud deployment, an AI API, an agent application or a SaaS application — show us what exists, how it's used and where you want to take it. We'll assess the infrastructure requirements rather than asking you to redesign the application around a hosting package.
The same engineering discipline we apply to Kubernetes, networking and cloud systems, applied to a newer kind of workload.
We operate the agreed infrastructure rather than handing over compute and leaving you with it.
Built around appropriate models and technologies, not a proprietary Polar AI ecosystem.
Polar is intentionally a boutique technical provider, not a faceless hyperscale service. You talk to the people who understand the infrastructure.
Compute, storage, networking and operations.
The environment, agreed with you.
The agreed infrastructure, on an ongoing basis.
Looking for managed AI for your organisation, not a workload to deploy? Explore AI for Business →
You don't need to arrive with the final infrastructure architecture. Bring the workload — we'll start there.