AI infrastructure that runs where you govern it — not where the hyperscaler is.
Three kinds of operator run the Tenzro Network: hobbyists at home, small-scale operators, and full-scale data centers. Anyone can join with hardware they already own. For those who want the deployment handled rather than assembled, Tenzro Micro Data Centers are a product Tenzro Labs ships — open models on your hardware, license-compliant and settlement-ready.
Three kinds of operator, one network.
Home Labs
Hobbyists running AI at home, on their personal computers.
A gaming GPU, a workstation, an Apple Silicon box. Join with hardware you already own, serve a model when the machine is idle, and earn for the work it does. Nothing to buy from us.
Micro Data Centers
Small-scale operators.
A rack, a closet, a colocation cage. Enough capacity to serve real workloads and take paying demand. Assemble it yourself, or have us deploy one — the sizes below are that product.
Data Centers
Full-scale operators.
Existing GPU fleets and facility-scale capacity. Keep your serving stack — if you already run vLLM or SGLang, register the endpoint and carry on as you are.
Cloud AI concentrates inference in a handful of hyperscaler regions. Tenzro Micro Data Centers put it inside your jurisdiction, on hardware you control.
The hardware to run modern open LLMs and full multi-modal AI on-premise exists today — energy-efficient, deployable behind any link, vendor-neutral. The open models — strong enough for production use, efficient enough to run on your own hardware — exist today. What has been missing is the protocol layer that makes an operator-run, sovereign, or on-site inference endpoint license-compliant, settlement-ready, identity-bound, and verifiable. The Tenzro Network is that protocol layer. Tenzro Micro Data Centers are the deploy-on-demand product that ships it, and Tenzro Labs is the partner that stands it up and runs it with you.
Sized by who you serve, not by what is inside.
If you have us deploy one, you pick the size by the scale you serve — a single site, a region, or a national footprint. We pick the hardware that hits the price, performance, and power envelope at the time of deployment. The protocol surface is the same across all three, and the same as any other node on the network.
Single-site deployment for an enterprise site, branch, or field location.
The smallest Tenzro Micro Data Center. A single low-power node, deployable behind any link — fiber, fixed wireless, cellular, or Starlink — for on-premise, remote, or air-gapped operations. Sits inside your perimeter, 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 private 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
- ·Enterprise branches and remote sites
- ·Field stations, vessels, and mobile units
- ·Secure or air-gapped operations rooms
- ·Government offices needing local inference
- ·Colocation tenants piloting a single rack
Single-site or small cluster for an enterprise region, colocation facility, or agency.
A larger node — or a small cluster — sized for a region or facility. Runs mid-size open LLMs including mixture-of-experts models that deliver high throughput on low-bandwidth memory. Many users and services hit it concurrently.
- ·A mid-size open LLM with concurrent multi-user serving
- ·Mixture-of-experts LLMs optimized for memory bandwidth
- ·Full multi-modal AI — retrieval, forecasting, ASR, vision, detection, segmentation
- ·Per-tenant audit trails and usage metering
- ·Enterprise regional data rooms and private clouds
- ·Colocation and edge facilities monetizing capacity
- ·Government agencies and public-sector deployments
- ·Regional headquarters and operations centers
- ·Factory floors and industrial operations
Cluster deployment for a data center operator or a sovereign national program.
A cluster sized to serve thousands of concurrent users — multiple open LLMs in parallel, dense and mixture-of-experts together, full multi-modal coverage. The largest size, for operators running a commercial AI service or governments standing up national AI capability.
- ·Multiple concurrent open LLMs — dense and mixture-of-experts in parallel
- ·Full multi-modal AI at cluster scale
- ·Thousands of concurrent users across many sites
- ·Optional connection to the Tenzro Network for cross-site federation
- ·Data center and colocation operators at scale
- ·Sovereign national AI programs on national hardware
- ·Multi-site enterprises and consortia
- ·Telco and edge providers serving a region
- ·Institutions running confidential compute at scale
Hardware, software, protocol, deployment, operations — one product.
Embedded AI hardware
Energy-efficient embedded AI hardware sized for the deployment. Vendor-neutral; we select per size 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 hardware profile. License acceptance is recorded at the protocol layer, not on paper.
Metering, identity, and verification rails
Per-token metering and settlement via native rails, fiat, or HTTP 402 — so you can charge tenants or account internally. 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 on your hardware. Your team gets 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 size (Site, Regional, National) and tell us the location, the constraints (power, network, environment), and who and what it will serve.
- 02We deployWe provision the hardware, the housing, the network, and the Tenzro Network node software on your infrastructure. License acceptance happens at provisioning. Your master Tenzro DID controls per-device identities.
- 03You own and operateYour endpoint is live immediately — locally, privately, at LAN latency. Per-call audit, per-token metering, full protocol surface. You hold the keys; we run it alongside you for as long as you need.
- 04Federate or stay sovereignOperate fully in-perimeter, or connect to the 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 here. The product is the deployment outcome: a working inference endpoint on your hardware, license-compliant, settlement-ready, and yours. You can run it entirely yourself, or have us operate it for you as a managed service — 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.