Security-first TEE
Hardware-isolated Trusted Execution Environments on a FIPS-validated Kubernetes baseline, with remote attestation so the exact code running on your data can be verified.
Decentralized GPU clusters turned into a secure factory for SOTA AI services — inference, agents, and batch jobs inside hardware-secured Trusted Execution Environments.
KubeTEE is the AI Factory of the Bittensor network. It turns decentralized GPU clusters into a confidential factory for state-of-the-art AI services — inference, model microservices, retrieval, and agents.
Every service runs inside a hardware-secured Trusted Execution Environment: the host cannot read workload memory, and remote attestation proves the code and configuration are unmodified. Data and models are protected at rest, in transit, and in use.
The whole stack is open source, built on Kata Containers, Confidential Containers, and a FIPS-validated Kubernetes baseline. Where we patch upstream projects, the patches live in public forks and are contributed back.
Hardware-isolated Trusted Execution Environments on a FIPS-validated Kubernetes baseline, with remote attestation so the exact code running on your data can be verified.
One multi-cluster scheduler across decentralized GPU clusters — fair-use queuing, gang scheduling, and preemption, so large jobs place without starving the fleet.
NVIDIA NeMo microservices, NIM models, and AI Blueprints as first-class confidential services — plus Bittensor subnet integrations where the NVIDIA stack falls short.
One identity per cluster, nodes in distinct data centers, expanding across global regions. Built on open-source projects; our patches live in public forks and go upstream.
Confidential inference — GLM-5.2, GLM-5.3, GLM-5.3-Flash, and Ornith-1.5-397B, served inside TEE-isolated pods and available to buyers on sayGM.
saygm.comExternal inference demand is already paying for compute — and that revenue is recycled on-chain every day.
See recycled revenueThe validator is live on Finney with a public dashboard showing per-cluster infrastructure readiness and scoring.
Validator dashboardEvery node on the staging cluster is confidential-computing capable — running the same TEE runtime classes as production miner clusters.
Miners register their own cluster and prove control of their hardware without operator involvement.
Fine-tuning, evaluation, and multi-step pipelines dispatched across decentralized clusters as confidential batch jobs.
Deploy compute from an autonomous agent or a chat client — browse the catalogue, get a quote, submit, and track the job to completion.
Pay for confidential compute in stablecoins or TAO, alongside subnet-native Alpha.