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HYPERCONVERGED INFRASTRUCTURE FOR GENERATIVE BI
Private AI.
Enterprise scale.
Bring compute, storage, and networking together in a private AI cloud built around your enterprise. From GPU infrastructure to Wren AI generative BI, CentryAI connects your workloads, business data, and next stage of growth.
HCI FOUNDATION / PRIVATE AI / GENERATIVE BI
CENTRY COMPUTE SYSTEMS
INFRASTRUCTURE FOR WHAT’S NEXT
01 / COMPUTE WITHOUT COMPROMISEBuilt around
your workload.
your workload.
C / AI — SYSTEM ARCHITECTURE
From your first deployment to your next scale-up.LEASE ↗ CONFIGURE ↗ OWN ↗
HYPERCONVERGED BY DESIGN
One integrated stack.
A larger AI cloud.
Start with a Centry system. Connect infrastructure into a deployment designed for private models and generative BI. Explore the layers, then visualize a growing node footprint.
Business applications
Wren AI generative BI and private model hosting sit at the top of the stack.
CENTRY / SCALE-OUT CONCEPT●
4 nodes · 32 GPUs configured
PRIVATE AI CLOUD / SHARED INFRASTRUCTURE DESIGN
Scale illustration, not a delivered cluster or linear performance claim. Inter-node fabric, storage, orchestration, availability design, and workload capacity require solution validation. Listed server LAN ports do not establish a high-speed training fabric.
THE CENTRY CONCEPT / WATCH THE ARCHITECTURE
One foundation.
Room to grow.
See how hyperconverged infrastructure brings resources together, scales out with additional nodes, and provides a foundation for private AI and generative BI.
Read the video transcript
00–06 seconds: Compute, storage, and networking come together in a hyperconverged node.
06–12 seconds: Add nodes to expand the infrastructure footprint as workloads grow.
12–18 seconds: Connect business data, AI models, and AI applications within a private deployment concept.
18–24 seconds: A Wren AI generative BI workflow connects a business question to business context and an answer or visualization on Centry AI Servers. Example: “What drove the change in revenue this quarter?”
CENTRY AI SERVERS + WREN AI
Private infrastructure.
Business answers at team scale.
Centry AI Servers incorporate Wren AI for generative BI, with a validated and optimized solution approach. Bring business data, private models, and a governed analytics layer together in your own environment.
Keep business context close
Use a shared context layer to define metrics, relationships, and governed access.
Size for simultaneous demand
Plan Wren AI self-hosted licensing by concurrent requests, then validate server capacity against your workload.
Final models, integrations, governance controls, and any isolated deployment requirements are confirmed in the solution design.
Estimate your session requirements ↗WREN AI / CONCURRENT SESSION PLANNING
Size for active demand.
Plan for growth.
A session covers one AI-driven request, from submission to its completed output. A signed-in user is not automatically an active session.
Use the guide below to estimate a starting point. Licensing and infrastructure performance are separate: final capacity needs workload testing.
Wren AI sizing reference ↗01 / ENTERPRISE AI SERVICES
The capacity you need.
The control you choose.
Align AI infrastructure with your workload, deployment requirements, and investment plan. Explore compute leasing, hosted models, and server ownership through a tailored proposal.
DEDICATED COMPUTE
GPU & server leasing
Scope dedicated infrastructure for inference, fine-tuning, and training. Define the configuration, term, and operating model around your requirements.
Discuss compute capacity ↗MODEL ACCESS
Hosted AI models
Explore hosted model access for enterprise applications. Match model capabilities and access requirements to the way your teams build and work.
Discuss model access ↗BUILT AROUND YOUR WORKLOAD
Inference
Plan dedicated capacity for model serving and enterprise AI applications.
Discuss inference capacity ↗Fine-tuning
Match GPU capacity, memory, and storage to your model adaptation workflow.
Plan a fine-tuning setup ↗Training
Design a multi-GPU configuration with networking, power, and growth in view.
Scope your training workload ↗Service eligibility, deployment location, supported models, availability, and commercial terms are confirmed during consultation.
02 / CENTRY AI SERVERS
The right system.
For your next breakthrough.
Two supplier-documented platforms for private AI. Pair Centry servers with Wren AI generative BI or private model hosting, and size the deployment around your workload.
SUPPLIER-DOCUMENTED CONFIGURATIONS
Specifications transcribed from the supplied September 4, 2026 datasheet and presented under Centry branding. Exact GPU edition and VRAM, interconnect, software licensing, final BOM, and availability require confirmation. Memory extension figures describe supplier-reported SSD-backed capacity, not physical GPU VRAM. PRO6000 storage capacity units are not stated in the source.
COMPUTE ECONOMICS / GENERATIVE BI & PRIVATE MODELS
Compute economics.
Target 10% less.
Centry targets compute pricing 10% below the comparable Nebius published on-demand GPU rate. Request a tailored proposal for private model hosting and Wren AI workloads.
One GPU. One billable hour.
An 8-GPU server running for one hour represents 8 GPU-hours. Reserved capacity may be billed even while idle; confirm your contract’s billing basis.
- Match the GPU and resources. Compare edition, memory, CPU, RAM, networking, and availability.
- Separate the solution layers. Wren AI licensing, deployment, management, storage, taxes, and support are quoted separately unless included explicitly.
- Measure the actual workload. Compare concurrency, response latency, and model/context settings—not price alone.
Reference is on-demand, not spot or a negotiated commitment. This is a dated comparison, not a live price feed. Matching GPU names alone does not establish an equivalent service. Target rates require configuration and commercial confirmation; no additional five-year discount is assumed.
- 01
Tell us what you’re building
Share your model, workload, users, and deployment goals.
- 02
Define the configuration
Review GPU memory, server components, networking, and the manufacturer’s datasheet.
- 03
Choose how you deploy
Review a leasing proposal or purchase quote, including commercial terms and delivery requirements.
CENTRYAI / CALIFORNIA, UNITED STATES
Enterprise intelligence.
A private foundation.
CentryAI is a California-based company focused on private AI infrastructure and generative business intelligence.
Our solution approach brings together scale-out HCI, Centry AI Servers, and Wren AI to connect infrastructure planning with the business outcomes your teams need.
Talk to CentryAI ↗LET’S BUILD WHAT’S NEXT
Your workload.
Our starting point.
Tell us about your workloads, concurrent demand, and deployment goals. Start a conversation about private AI infrastructure, generative BI, or dedicated compute.
PREVIEW INQUIRY FLOW
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