Tenzro Network
NetworkWhat is new, and how the network fits together
TNZOThe unit that prices and settles work
SecurityPost-quantum consensus, hardware-rooted keys
AI
InferenceAny open model behind OpenAI-compatible APIs
TrainingDistributed training on the network
ComputeGPU and CPU capacity, priced by an open index
Storage and dataStorage and managed databases
AgentsIdentity, wallets and limits for software agents
Settlement and trust
LedgerEVM, SVM and native runtimes on one settlement layer
PaymentsMetered, per-use payments in TNZO and stablecoins
Identity and keysHardware-rooted keys for people, agents, machines
Trust and verificationTEE attestation, proofs, provenance
InteroperabilityBridges to the major networks
Provide resources
Become an operatorFrom one GPU at home to a data centre
Operator rolesValidator, RPC, AI, compute, storage, security
DownloadsNode, CLI and desktop app
ApplyGet help onboarding your hardware
Build
Developer hubQuick start, SDKs and endpoints
DocumentationGuides and reference
TutorialsStep-by-step builds
ModelsEvery model in the registry
Reference
API referenceJSON-RPC and REST
CLI referenceEvery command
SDK referenceRust and TypeScript
WhitepapersProtocol design in depth
Who it is for
AI applicationsOpen models at open-market prices
Regulated industriesControl over models, data and residency
Private AISensitive workloads in attested hardware
Research and trainingDistributed compute for model builders
Agents and machinesBuy inference and compute without a human
Exchanges and bridgesFinality you can carry and verify
About
Tenzro FoundationSteward of the network and TNZO
PartnersBuild and bring operators onto the network
Case studiesDesigns built on Tenzro
Read
BlogNews and engineering
FAQCommon questions
BrandName and logo use

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Blog · Industry

Healthcare

1 article

Healthcare
AI in Healthcare: When the Data Cannot Move, Move the Model
Clinical and research data is among the most regulated anywhere. Three patterns that bring AI to health data without moving it (local serving, confidential computing and federated training) and the evidence each one should produce.
20 October 20264 min read

Topic

Audience

Data centre operators AI factory investors Open model builders AI infrastructure operators Telcos CTOs and decision makers EU policy makers Hardware manufacturers GPU operators Model routers Agent builders Edge AI Developers Security teams Robotics builders Data scientists Regulated industries Public sector buyers

Industry

Financial services Healthcare Manufacturing Public sector

Region

Europe United Kingdom United States Asia Pacific Middle East and North Africa Africa Latin America Global