GPU compute
Blackwell-class GPU compute for self-hosted model inference — private AI that never leaves the perimeter.
Our own platform runs on the same stack we build for clients — self-hosted, orchestrated and backed up. Real operational capability, not slideware.
Blackwell-class GPU compute for self-hosted model inference — private AI that never leaves the perimeter.
K3s clusters running our workloads, with GitOps delivery, ingress and secrets management.
vLLM for high-throughput model serving, with LiteLLM as a single gateway across local and hosted models.
LibreChat as a self-hosted chat interface over our own models — a private alternative to public assistants.
Proxmox beneath the cluster — VMs and containers with clean storage and network boundaries.
MinIO for S3-compatible object storage, kept inside our own infrastructure.
Velero for scheduled cluster backup and tested restore — the recovery path is rehearsed, not theoretical.
Architecture, an audit, a system that needs a rethink — start with a message.
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