Tenzro Network · Preview live
The open network for the Machine Economy.
Machines of every size, from edge devices to data-centre GPUs, serve inference and compute to the agents, apps and people that need it. One open network connects them, and pays every provider for the work it does.
Why now
Machines have started to buy and sell work.
Agents already call models, rent compute and hire other agents, and most people reach AI through apps that pick a model on price and speed. The machines that can serve that demand run from a single-board computer to racks of data-centre GPUs.
Tenzro is one open market where all of them sell their work, with no single company in between.
- Participants
- Humans
- Agents
- Machines
- Services
- Rails
- Settlement
- Consensus
- Hardware
- TPM 2.0
- Secure Enclave
- Passkeys
- TEEs
- GPUs
How it works
Providers serve. Agents and apps pay.
Demand pays providers, provider income brings more machines, and more machines bring better prices and availability.
- 01
Providers serve
Operators publish what their machines serve, at what price and where: models, compute, storage and agents, from one node. - 02
Agents and apps call
Requests arrive through an OpenAI-compatible endpoint and are routed by price, latency and trust. End users never need to know where the AI runs. - 03
Everyone who did the work is paid
Each request is metered per use and settled directly to every party in the call: the app, the agent and the machine that served it.
Providers
Every class of machine has work to do.
One codebase builds a release for each class of hardware, and each machine takes only the roles it can serve. One stake covers them all.
- Edge
Small and embedded devices
Single-board computers, Jetson-class modules, mini PCs, NAS boxes and gateways. They hold identity, make payments, run agents and storage, and pass inference on to GPU providers.PlannedHosting agent harnesses that orchestrate agents, small local models and other nodes. - Standard
CPU servers and workstations
Every role a CPU can serve, including the models that fit it. - GPU provider
From one GPU to a data centre
Inference, compute rental and confidential computing, with models too large for one machine served in shards across several. - Validator
Servers with a TPM
Order transactions and certify checkpoints with keys held in the hardware, against a bonded stake.
Who builds on Tenzro
An alternative to renting everything from one company.
Developers, researchers, organisations and autonomous software use the same network and the same APIs.
Developers building AI applications
Leading open-source models behind OpenAI-compatible APIs, priced by an open market instead of one provider's rate card.Learn moreAgents and machines
Hardware-rooted identities, spending limits and metered payments, so software can buy inference and compute on its own.Learn morePrivate and sensitive workloads
Run inference and data processing inside attested hardware, with evidence you can check yourself.Learn moreRegulated industries
Choose where models, data and compute live, and see who served every request, under which policy, certified by whom.Learn moreModel builders and researchers
Rent capacity, and train across distributed clusters with applications built on the network.Learn moreEvery industry that buys AI
One endpoint for inference and compute from independent providers, without a contract with each of them.Learn more
Under the hood
Built to be trusted by machines.
The network is live in preview, and governance decides the steps to testnet and mainnet. Everything below ships from the start.
- 01Tenzro DAG Consensus (TDC)Our post-quantum consensus protocol. Every validator proposes in parallel each round, so no single leader limits the network.
- 02Keys that live in hardwareEvery key is rooted in a TPM, a Secure Enclave or a passkey. There are no key files and no seed phrases.
- 03Trust and provenanceCertification and ratings for models and operators, issued by anyone. You choose which issuers you trust and check the rest yourself.
- 04The Machine EconomyA compute price index in consensus, SLA-attested rentals and metered, per-use settlement, paid in TNZO or stablecoins.
- 05Inference for any modelPrefix and state reuse for every architecture class, behind OpenAI-compatible APIs for chat, embeddings, images, audio and video.
- 06Closed by defaultOpen, owner and admin methods are separate. Anything that moves money or changes state needs a signature from the account that pays.
TNZO
One unit keeps the network running.
TNZO prices and settles work, is what operators stake, and pays for the network's upkeep. People pay with what they already use, and apps and platforms handle the rest.
Open source, stewarded
Owned by no single company.
The protocol and network primitives are open source under Apache 2.0, and the Tenzro Foundation stewards the protocol and its repositories. Partners help operators of every background get started.
Get involved
Join Tenzro Network.
Anyone can operate, build on or use the network. It is permissionless and open source. Tell us how you want to take part and we will help you get started.
- OperatorRun a nodePut an edge device, a GPU, a homelab or a data centre on the network and get paid for the work it serves.Apply
- DeveloperBuild on the networkOpen models, OpenAI-compatible APIs, identity and payments in one stack, priced by an open market.Apply
- ResearcherTrain and experimentRent compute for experiments, and run training across distributed clusters with applications built on the network.Apply
- PartnerPartner with TenzroIntegration, technical support and go-to-market partners who bring operators and builders onto the network.Apply