0G Labs’ Private Computer has quietly scaled into a mainstream-ready privacy-first AI hub — processing over 250 billion tokens across 17 million requests and generating 15 million Trusted Execution Environment (TEE) attestation proofs since its April 27 launch, the company said in an Aug. 18 press release. What’s new - Model growth: Private Computer started with seven models and now offers 28, all accessible from a single account via a web console or an OpenAI-compatible API. The platform supports text, image, audio and video generation — including the Aug. 3 addition of Hailuo 3 (MiniMax), which enables text-to-video and first-frame image-to-video workflows. - USD payments: “USD Mode” is now generally available. Users can hold balances in U.S. dollars and top up with card payments through Stripe, plus sign in by email and use a guided first-deposit flow. That removes the need for many users to set up crypto wallets, buy tokens, or make on-chain transactions just to try the service. - Privacy and verifiability: Private Computer processes prompts in-memory, doesn’t retain user data, and excludes prompts from model training datasets. Users can pick trust tiers per request; 20 of the 28 models offer verifiable execution. Of those, 15 use TeeTLS (verified routing) and five use TeeML (model execution inside a hardware enclave). Model pages show privacy labels so users can check execution types before sending prompts. Why it matters 0G is pushing hardware-backed privacy (TEEs) into a consumer-friendly UX that doesn’t force users to adopt crypto payments. “Privacy should not require a crypto wallet,” CEO Michael Heinrich said. “With this upgrade anyone can pay for AI in dollars and still get hardware-verified privacy. Decentralized infrastructure goes mainstream by meeting people where they are, not by asking them to change how they pay.” Technical and ecosystem context - Public transparency: Usage and attestation activity are visible on a real-time public dashboard that records aggregate stats (250B tokens, 17M requests, 15M TEE proofs). - Integration and developer access: The service is available via an OpenAI-compatible API so existing developer tooling and apps can connect with minimal changes. - Network architecture: Private Computer acts as an access point to 0G’s broader stack — decentralized compute, distributed storage, data availability, and an EVM-compatible chain (Aristotle Mainnet), launched alongside the 0G token in September 2025. - Funding and partners: 0G has accumulated more than $360 million in ecosystem capital and lists 100+ partners, including Chainlink, Google Cloud and Alibaba Cloud. Earlier fundraising and commitments included a reported $40M seed round and a $250M token purchase commitment managed by the 0G Foundation; investors previously named include Hack VC, OKX Ventures, Delphi Ventures, Samsung Next and Animoca Brands. Broader trend TEE-based approaches are gaining traction across crypto and blockchain projects as the industry seeks ways to combine on-chain verification with off-chain compute. 0G’s consumer-oriented path — hiding blockchain complexity behind familiar account and card flows — illustrates one route for decentralized AI to reach mainstream users without sacrificing verifiable privacy. Quick snapshot - Tokens processed: 250+ billion - Requests: 17 million - TEE proofs: 15 million - Models: 28 (20 verifiable) - Users: ~15,000 - Funding/partners: $360M+, 100+ partners Bottom line: 0G’s Private Computer is scaling privacy-focused, hardware-verified AI while removing the payment and UX frictions that often keep mainstream users out of decentralized infrastructure — a significant step toward wider adoption of verifiable, privacy-preserving AI services. Read more AI-generated news on: undefined/news