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
PRIVATE FABRIC ONLINEAI_CORE / ARCH_01
MODEL PLATFORM
GPU NODE 01 INFERENCE
GPU NODE 02 INFERENCE
DATA PLANE RAG / STORAGE
CONTROL IDENTITY / AUDIT
MODEL ROUTING ACTIVE DATA BOUNDARY LOCAL CAPACITY PLAN READY
ENTRY GATE
Infrastructure begins with evidence, not a hardware shopping list. Mandatory assessment From €7,500 credited 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 duration 2-4 weeks
01 Use-case and data boundary Users, workflows, privacy, retention, integrations, and operating constraints.
02 Model and workload benchmark Exact model variants, precision, context, throughput, latency, concurrency, and quality.
03 Infrastructure architecture Compute, GPU memory, storage, networking, orchestration, identity, security, and observability.
04 Investment 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 investment From €75k engineering + 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
Multi-node
02 / CLUSTER
Department AI Cluster For concurrent teams, multiple models, higher throughput, isolation, and planned capacity growth.
Typical program investment From €250k final value depends on compute and fabric
Multi-GPU or multi-node architecture High-speed network and shared storage Workload queues, routing, and priorities Central monitoring and model catalog Staging, production, backup, and runbooks
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. A Assessment Paid before architecture work begins.
B Hardware & licenses 100% funded before procurement; availability and quotes expire.
C Engineering Architecture, integration, security, deployment, validation, and training paid by milestones.
D Facilities & third parties Power, cooling, racks, cabling, construction, warranties, and specialist vendors itemized separately.
E Operations 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.
Request an assessment review
This request does not purchase infrastructure. It helps Qarz determine whether the paid assessment is appropriate.