Private AI, Upgraded 🔐
As of September 3, 0G’s Private Inference tier serves GLM-5.3 through TeeML, with the model running fully sealed inside a TEE enclave where neither 0G nor the provider operating the machine can read user prompts.
Most AI privacy still depends on a policy, a retention setting, a compliance page, or a promise that nobody is looking. On 0G Private Computer, privacy is a hardware property.
Your prompt enters the enclave encrypted. The response is signed inside it. The host machine sees ciphertext and nothing else.
GLM 5.2 joined the Private Inference tier on July 7. Two months later, the TeeML provider completed a scheduled upgrade and swapped GLM 5.2 for GLM-5.3 during a ten-hour maintenance window.
The privacy model stayed the same. The model inside the enclave changed.
GLM-5.3 has also been on 0G through TeeTLS since August 14, where the routing path is attested. TeeML goes further by sealing the inference itself, not only the route.
$NEAR keeps AI apps and agent workflows in focus.
$VVV keeps private AI in the conversation. 0G brings those threads into a model surface where users can choose the trust mode their workload needs.
GLM-5.3 is Z.ai’s latest flagship, post-trained on the same 743B base as GLM 5.2 and built for coding, agentic tool use, and cyber defense.
Deep thinking is always on. Context runs to 1M tokens.
Running Private mode pinned to glm-5.2? Change the model name to glm-5.3.
One note for builders: glm-5.3-flash is separate from this upgrade and runs through TeeTLS.
GLM-5.3 is now the sealed GLM route on 0G Private Computer.
#0G #Aİ