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Infrastructure · Overview · Edge & On-Premise

Edge & On-Premise Infrastructure.

Sovereign compute on your terms. We design on-premise and edge platforms that treat compute as a capital asset — placed where latency, sovereignty, and 36-month TCO say it belongs, not where a vendor's default region happens to be. Cloud and hybrid remain options; on-prem is the default.

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Spectrum 01 · Sapphire

Edge & On-Premise Infrastructure

Distributed workloads placed by mathematical cost-gravity analysis — on your hardware, at your edge, in your jurisdiction. We engineer platforms where owned servers, private metal, and cloud operate as a single unified compute fabric — with sovereignty controls, cost boundaries, and failover logic baked in from day one.

Every platform we provision is AI-native: GPU pools, inference endpoints, and training pipelines are first-class infrastructure citizens, running on hardware you own. No per-token fees. No vendor rate limits. LAN-speed inference.

<20msEdge Latency Target
On-PremFirst Architecture
DRRehearsed Recovery

AI-Native On-Prem Provisioning

Platforms built for training, inference, and agentic workloads from day one — GPU pools and inference endpoints as first-class citizens on your hardware.

36-Month TCO Modelling

Mathematical modelling of capex + power vs. per-seat/per-token subscription — priced against business outcomes, not vendor marketing.

Data Sovereignty by Design

Residency rules, jurisdiction constraints, and encryption boundaries enforced at the infrastructure layer. Your reasoning never leaves your building.

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Sovereign Hardware Tiers

Three Reference Builds. One Stack.

Every tier ships the full Ingemino stack: LLM gateway, STT/TTS, unified portal, monitoring, automatic failover. You choose the capacity; the software is identical.

  • Edge — Mac Studio M4 / RTX 4060 Ti 16GB. 1–5 users. Local voice triage, light chat, document processing.
  • Workstation — Threadripper + RTX 5090 32GB / 6000 Ada 48GB. 5–25 users. Multi-agent funnels, high-throughput document analysis, UC transcription.
  • Server Cluster — 2× EPYC + 2× RTX 6000 Ada (96GB VRAM). 25–100+ users. Full enterprise automation, HA customer-facing agents, unified VoIP/CRM pipeline, automatic failover.
Capex$3K – $35K
MSP$250 – $3,500/mo
Break-evenMonth 6

Edge Tier

~$3K capex. Single box. Local voice + chat. 1–5 users. Month-6 break-even vs SaaS.

Workstation Tier

~$12K capex. Single GPU. Department scale. 5–25 users. Multi-agent funnels.

Server Cluster

~$30K capex. Dual GPU + HA. Enterprise scale. 25–100+ users. Full stack + failover.

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Where Cloud Wins (Honestly)

The Limits of On-Premise

We sell on-premise because it wins for most SME workloads. But cloud genuinely wins in these cases — and we will tell you so:

  • Burst training — massive GPU clusters for short runs (you don't buy a cluster for a weekend).
  • Global CDN / multi-region serving — edge PoPs worldwide for public-facing apps.
  • DR replication to distant geography — off-site backup targets you don't own.
  • Frontier models > 70B params — hardware requirements exceed practical on-prem budgets.

In these cases, we design the hybrid path: on-prem for steady-state inference and sovereignty; cloud for burst, CDN, and DR replication. The architecture remains unified — one control plane, one gateway, one team.

Hybrid by Design

On-prem for inference, sovereignty, and steady state. Cloud for burst, CDN, and DR. One gateway.

No Dogma

We don't force on-prem where cloud wins. The architecture serves the workload, not the vendor.

Living Proof

IngeminoCloud runs on our own on-prem cluster. The stack we sell is the stack we operate.

Cloud Architecture Review

Ready to design your cloud foundation?

Begin with a Cloud Architecture Review — a structured diagnostic that maps your current state against the platform your ambitions require.