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Veltrix

architectureHow Compute fits together.

A schematic view of the compute, storage, and platform dependencies inside a jurisdiction-pinned Veltrix PoP.

whait it isThe technical reality.

Bare metal, virtualized compute, object and block storage, and managed Kubernetes hosted in Veltrix PoPs. Designed for low-latency adjacency to the network fabric and to the AI infrastructure rather than for hyperscaler-style volume.

who it's forBuilt for the partners who deliver it.

System Integrators

Needing managed Kubernetes for customer workloads.

AI & Data Workloads

Running RAG pipelines or vector databases adjacent to inference.

Operators

Terminating SD-WAN and SASE management planes locally.

Industrial Customers

Supporting OT and edge workloads with data-residency requirements.

what makes it differentWhere Veltrix wins.

Premium-niche, not volume

We don't try to undercut hyperscalers on $/vCPU. We charge for sovereignty and for adjacency to the rest of the platform.

Low-latency adjacency

Compute lives in the same PoPs as Fabric and Intelligence. RAG pipelines and vector stores sit microseconds from the model.

Data-resident by jurisdiction

Workloads can be pinned to a specific country. Audit trails prove it.

capabilitiesWhat’s in the box.

Block storage
Bare metal compute
Private VPC overlays
Managed Kubernetes
Workload pinning by jurisdiction
Virtualized compute (KVM)
Adjacency to Intelligence inference endpoints
Object storage (S3-compatible)