Private AI infrastructure for serious workloads

Own the intelligence. Control the infrastructure.

We design private AI systems, GPU clusters, model platforms, and on-premises AI centers around your data, concurrency, security, and growth requirements.

Private by design Workload-sized Growth planned
ENTRY GATE

Infrastructure begins with evidence, not a hardware shopping list.

Mandatory assessmentFrom €7,500credited only when stated in the final proposal
Qualified implementation budgets€75,000+planned total investment, excluding tax

Phase zero

Capacity & Feasibility Assessment

No responsible cluster proposal starts with “install a 70B model.” We benchmark the exact workload and convert business expectations into measurable infrastructure requirements.

Typical duration2-4 weeks
01Use-case and data boundary

Users, workflows, privacy, retention, integrations, and operating constraints.

02Model and workload benchmark

Exact model variants, precision, context, throughput, latency, concurrency, and quality.

03Infrastructure architecture

Compute, GPU memory, storage, networking, orchestration, identity, security, and observability.

04Investment and growth plan

Procurement paths, implementation scope, operating cost, milestones, risks, and expansion triggers.

Deployment classes

From a private system to a sovereign AI center.

These are investment classes, not off-the-shelf packages. Every implementation follows the paid assessment.

01 / PRIVATE SYSTEM

Private AI System

For a qualified department or organization operating selected models and private knowledge workflows.

Typical program investmentFrom €75kengineering + hardware + launch scope
  • Dedicated enterprise server architecture
  • Private model serving and API gateway
  • Identity, access, audit, and RAG platform
  • Defined concurrency and latency target
  • Deployment, validation, and handover
03 / AI CENTER

Custom AI Center

For institutions requiring facility coordination, sovereign operation, larger clusters, and long-term governance.

Qualified programs€750k+infrastructure and facilities program
  • Rack, power, cooling, network, and facility plan
  • Training, tuning, and inference zones
  • Security segmentation and governance
  • Capacity, continuity, and disaster recovery
  • Vendor coordination and phased commissioning

Commercial structure

Know what is included before capital is committed.

AAssessment

Paid before architecture work begins.

BHardware & licenses

100% funded before procurement; availability and quotes expire.

CEngineering

Architecture, integration, security, deployment, validation, and training paid by milestones.

DFacilities & third parties

Power, cooling, racks, cabling, construction, warranties, and specialist vendors itemized separately.

EOperations

Monitoring, patching, model lifecycle, capacity review, and incident support under a recurring plan.

Qualification

This service is intentionally not for every project.

Good fit
  • Private or regulated data must remain controlled
  • Predictable internal demand justifies capital investment
  • Multiple users or applications need governed AI access
  • The organization can support facilities and operations
Not a fit
  • A public chatbot API already solves the requirement
  • There is no defined owner, workload, or security need
  • The project expects enterprise infrastructure at consumer pricing
  • The organization will not fund assessment or hardware upfront

Architecture before procurement

Qualify the workload. Then build the right system.

Share the organization, use cases, data restrictions, user volume, desired models, location, and planned investment range.

Infrastructure qualification

Request an assessment review

This request does not purchase infrastructure. It helps Qarz determine whether the paid assessment is appropriate.