Sovereign AI infrastructure at scale.
Distributed GPU compute, Kubernetes orchestration, and vector infrastructure — deployed as a private AI cloud with European residency options.
GPU Clusters
Datacenter and on-premises inference for training and production workloads, with tenant-isolated compute boundaries.
Kubernetes Platform
GitOps-managed services, Helm deployments, Firecracker sandboxes, and horizontal agent runtime scaling.
Distributed AI Compute
Horizontally scaled inference, model routing through the AI gateway, and workload-aware scheduling.
Vector Infrastructure
Embeddings pipelines, Qdrant vector stores, and governed retrieval integrated with the Data Layer.
AI Datacenter
European deployment options with residency controls, procurement-ready documentation, and sovereign hosting patterns.
Private AI Cloud
Fully private or air-gapped environments for regulated sectors — no dependency on external inference APIs.