0G Labs (Home of Infinite AI) (@0G_labs): 0G Private Computer is live

0G Private Computer is live Most AI APIs are a trust exercise. You send a prompt, the provider says they do not look at it, you take their word for it. That model held while AI was a chat toy. It does not hold when an agent is signing transactions, holding wallet keys, or deciding what to do with private data. 0G Private Computer is the alternative. Live today at pc.0g.ai. Multiple models, four categories of inference, one OpenAI-compatible API, every request sealed inside a Trusted Execution Environment. A one-line migration If your code already speaks OpenAI, you swap the base URL and you are on a decentralized, verifiable network. No new SDK. No new mental model. Same chat completions, same streaming, same tool calls. Different trust model underneath. Why TEE matters Every inference runs inside a hardware-isolated enclave. The stack pairs an Intel TDX CPU with a NVIDIA H100 or H200 GPU that supports TEE. The model loads inside, the prompt enters encrypted, the output is signed before it leaves. The host machine sees only encrypted traffic in and out. Policy-based privacy is a promise. Hardware-isolated privacy is an attestation. For an agent that holds private keys, the gap between those two is the gap between "we hope" and "we can prove." The launch lineup Six models live on Router, seven with Advanced mode, four categories, all TEE-verified. Each is a model a builder would already reach for in its category, now behind the same OpenAI-compatible endpoint: Deepseek chat-v3-0324, open-source coding and reasoning, Mixture-of-Experts model at 685B parameters Qwen3.6 Plus, Alibaba's flagship with a 1M-token context window GLM-5-FP8, fast FP8 reasoning with thinking on by default, OpenAI and Anthropic API compatibility for easy migration Qwen3-VL-30B, vision-language for screenshot-to-code and document understanding Whisper-large-v3, OpenAI's multilingual speech-to-text z-image, async text-to-image at 0.003 0G per image Advanced mode also lists models through specific provider endpoints. OpenAI's gpt-5.4-mini is one, made verifiable through the Primus zktls attestation flow. The TEE-verified badge on each card is not branding. It ties the response back to the specific enclave that produced it. The 30-second key flow Open pc.0g.ai/dashboard/api-keys. Connect a wallet, name a key, click create, copy it. The first request works. No KYC, no minimum deposit gate, no waiting list. Router auto-draws from a unified balance, so there is no per-provider sub-account work, no manual contract calls, no ledger to babysit. Same speed as OpenAI signup, with verifiability behind the curtain. Settled in 0G. Fiat support coming soon. Where it fits 0G Private Computer is the inference surface of the 0G stack. Underneath: 0G Chain on Reth, 0G Compute Network with 16,000+ active nodes serving 250K+ daily requests at sub-120ms latency and 99.9% uptime, 0G Storage at up to 2 GB/s, and 0G DA at 50K+ TPS for AI workloads. ERC-7857 (Agentic ID) is the live identity standard on top. The whole loop runs onchain, attested. Agents stay on the verifiable network whether they think, remember, spend, or settle. What does your AI agent run on, and can you prove it? Full breakdown from @0G_labs: https://0g.ai/blog/0g-private-computer