Your AI. Your hardware. Your data.
GPU rigs, inference clusters, and full rack deployments for teams that want private AI — not a SaaS subscription. Speced, built, installed, tuned, and supported by Nik.
From a desk-side GPU to a full sovereign rack.
Single-node GPU workstation for small teams. Runs 13B-class models locally at useful speed.
- 1× consumer GPU (24 GB VRAM)
- 128 GB RAM · 4 TB NVMe
- Ubuntu Server · CUDA-ready
- Remote-access bastion
Multi-GPU inference node. 70B-class models at production latency. Small team serving internal apps.
- 2–4× server GPUs (80–160 GB total)
- 512 GB RAM · 20 TB RAID
- Dual 10 GbE networking
- UPS + rack-ready form factor
- Monitoring + alerting stack
Full datacentre rack. Multiple nodes, HA pair, sovereign deployment. Scale-out inference + training.
- Custom per-client spec
- GPU mix (H100/H200/MI300)
- InfiniBand / RDMA fabric
- Redundant power + cooling
- On-site install + runbook + SLA
Three ways it lands in your environment.
Your office or datacentre. Physical handover, installed and commissioned on-site.
Ship to your co-location facility. Remote commissioning + shared ops runbook.
Sensitive tier on-prem, bursty workloads to your private cloud account. Orchestrated.
Not just boxes — a running system you own.
Hardware
Speced, procured, burned-in, labelled. Shipped to your location.
Software stack
OS, drivers, inference runtime, monitoring, auth, backups. All pre-configured.
Tuning
First 30 days of parameter sweeps, load tests, and performance tuning against your workload.
Ops runbook
Plain-English operations manual. Alerts · incident response · upgrade path · decommission plan.
Private AI, in a rack you own.
30-min scoping call → hardware BOM + install plan + support SLA quote within a week. Typical delivery 3–6 weeks from purchase order.