Telcos
10 articles
Payments for machinesFor operators: paid for AI work you did not have to sell
Operators already run the machines AI needs. The hard part is the demand: finding buyers, pricing small units of work, and being sure of getting paid by software rather than a signed customer. How demand reaches an operator's capacity through Tenzro, and how per-call settlement and signed receipts reduce counterparty risk.
6 min read
Sovereign AISovereign AI is a placement problem
Sovereign AI is often discussed as a question of who owns the data centre. In practice it comes down to three engineering questions: where each request runs, who controls the keys, and what can be proven afterwards. Each one can be answered in the infrastructure itself.
5 min read
Edge AIAgentic Harnesses on Small Devices: Orchestrating From the Edge
Most of an agent's work is orchestration, not large-model inference. Why the harness belongs on small hardware near the data, what runs on a Tenzro edge node today, and what edge harness hosting will add once it ships.
5 min read
Computer visionComputer Vision at the Edge: Infer Locally, Escalate Rarely
Cameras produce far more pixels than anyone should ship to a data centre. A tiered architecture for vision AI: small detectors at the camera or gateway, larger models only for the frames that need them, and privacy built into the split.
4 min read
Hardware identityDevices that join a network at first boot, with hardware identity
For hardware manufacturers, the identity a device carries out of the factory decides what it can do in the field. This article covers which identifiers can anchor a machine and which cannot, why keys belong sealed to the hardware, and how devices can join an open AI network from the first time they power on.
6 min read
NetworkingNetworking for Distributed Inference: Gossip, Re-announcement and Load
A network of machines behind home routers, carrier NAT and corporate proxies still has to deliver every transaction and every heartbeat. How Tenzro's transport, gossip budgets and re-announcement keep messages from getting lost under load.
5 min read
Edge AIOne Codebase From a Single-Board Computer to a Rack
Tenzro builds one node for every class of machine, from a Raspberry Pi to a GPU server, by varying compiled features and resource presets rather than forking the code. How the tiers work, what we measured, and why small devices belong in an AI network.
5 min read
SecurityPreparing AI Infrastructure for Post-Quantum Cryptography
NIST's ML-KEM, ML-DSA and SLH-DSA standards are final, the IETF has standardised hybrid key exchange for TLS, and the US and EU have set dates. A practical migration plan for AI infrastructure, and how Tenzro applies hybrid post-quantum keys today.
5 min read
Telco edgeTelcos as AI edge clouds: inference inside the latency budget
Telecom operators have the sites, the fibre, the licences and the customer relationships that low-latency AI needs. This article covers how to split an inference request across device, edge and regional GPU, what a latency budget actually allows, and what a telco needs in order to sell edge inference to buyers it has never met.
5 min read
Voice AIVoice AI Latency Budgets: Serve Speech Close to the Speaker
People expect a reply within a few hundred milliseconds. A latency budget for voice agents, where each millisecond goes, and why speech recognition and synthesis belong near the user while the language model can sit further away.
4 min read