AI infrastructure that deploys where you are — not where the hyperscaler is.
Turnkey, deploy-on-demand AI infrastructure for teams, communities, public services, and operators who need local inference. Three tiers — Edge, Community, Hub — serving open LLMs and multi-modal AI on-site, license-compliant and payment-settled on the Tenzro Network.
Cloud AI concentrates inference in a handful of hyperscaler regions. Tenzro Micro Data Centers put it on the same network as the people using it.
The hardware to run modern open LLMs and full multi-modal AI locally exists today — energy-efficient, deployable behind any internet link, vendor-neutral. The open models — strong enough for production use, small enough to run on embedded hardware — exist today. What has been missing is the protocol layer that makes a community-run, on-site, or regional inference endpoint license-compliant, payment-settled, identity-bound, and verifiable. The Tenzro Network is that protocol layer. Tenzro Micro Data Centers are the deploy-on-demand product that ships it.
Sized by who you serve, not by what is inside.
You pick the tier by the size of the community you serve. We pick the hardware that hits the price, performance, and power envelope for that tier at the time of deployment. The protocol surface is the same across all three.
Single-site deployment for a small team, clinic, classroom, or branch.
The smallest Tenzro Micro Data Center. A single low-power node, deployable behind any internet link — fiber, fixed wireless, cellular, or Starlink. Sits on the same network as the people using it.
- ·A small open LLM for chat, drafting, summarization, and Q&A
- ·Text retrieval and embedding for local search and RAG
- ·Timeseries forecasting on local sensor or operational data
- ·Speech transcription (ASR) for meetings, dictation, and accessibility
- ·Image embedding, segmentation, and object detection
- ·Rural or remote clinics
- ·Classrooms and small learning centers
- ·Branch offices and small teams
- ·Field stations and research outposts
- ·Vehicles, vessels, and mobile units
Single-site or small cluster for a community, library, or cooperative.
A larger node — or a small cluster — that serves a community of users. Runs mid-size open LLMs including mixture-of-experts models that deliver high throughput on low-bandwidth memory. Multiple users hit it concurrently.
- ·A mid-size open LLM with concurrent multi-user serving
- ·Mixture-of-experts LLMs optimized for embedded memory bandwidth
- ·Full multi-modal AI — retrieval, forecasting, ASR, vision, detection, segmentation
- ·Local audit trail and per-user usage tracking
- ·Community internet gateways and village mesh networks
- ·Libraries, municipal services, and public learning centers
- ·Cooperatives and member-owned infrastructure
- ·Larger branches and regional offices
- ·Small factory floors and operations centers
Cluster deployment for a larger community, regional hub, or multi-site operator.
A cluster sized to serve hundreds of concurrent users — multiple open LLMs in parallel, dense and mixture-of-experts together, full multi-modal coverage. The headline tier for operators serving a whole community or running a small regional service.
- ·Multiple concurrent open LLMs — dense and mixture-of-experts in parallel
- ·Full multi-modal AI at cluster scale
- ·Hundreds of concurrent users
- ·Optional connection to the public Tenzro Network for cross-site federation
- ·Regional community hubs and multi-village deployments
- ·Multi-site NGOs and humanitarian operators
- ·Local-government regional centers
- ·Larger cooperatives and consortia
- ·Operators selling local inference as a service
Hardware, software, protocol, deployment, operations — one product.
Embedded AI hardware
Energy-efficient embedded AI hardware sized for the tier. Vendor-neutral; we select per-tier based on price, performance, memory, and power envelope at the time of deployment.
Tenzro Network protocol stack
The full Tenzro Network node software, pre-configured for the model-provider role. Same protocol surface as any other node on the network.
Curated open-model registry
License-compliant open LLMs and multi-modal models matched to the tier's hardware profile. License acceptance is recorded at the protocol layer, not on paper.
Payment, identity, and verification rails
Per-token billing via native settlement, fiat rails, or HTTP 402. Per-device identities under your organization's master Tenzro DID, with scope control and cascading revocation. Verifiable inference receipts on every call.
Deployment and provisioning
We deploy, provision, and hand over a working endpoint. Your operators get a single addressable inference endpoint and a fleet-management view.
Operations and support
Run-with-you or fully managed — monitoring, on-call, upgrades, and incident response. Your choice of operational model.
From request to operating endpoint.
- 01Tell us where it goesPick a tier (Edge, Community, Hub) and tell us the site, the constraints (power, network, environment), and who will use it.
- 02We deployWe provision the hardware, the housing, the network, and the Tenzro Network node software. License acceptance happens at provisioning. Your master Tenzro DID controls per-device identities.
- 03You operateYour team uses the inference endpoint immediately — locally, privately, at LAN latency. Per-call audit, per-token billing, full protocol surface.
- 04Federate or stay localOperate fully on-site, or connect to the public Tenzro Network to publish models, accept external traffic, or contribute to distributed training. Your choice; the protocol does not require either.
Tenzro Micro Data Centers are not a raw-compute marketplace. We do not sell GPU-hours. The product is the deployment outcome: a working inference endpoint, license-compliant, payment-settled, operated by you. The hardware is a means; the protocol-addressable endpoint is the product.
It is not a closed appliance. The Tenzro Network protocol is open; the node software is open; the registry is open. If you want to run your own node without buying a Micro Data Center, that path is first-class and supported.
It is not vendor lock-in. The hardware is vendor-neutral, selected per deployment. The protocol is open. Your data stays on your site.