0G Labs said its 0G Private Computer platform has surpassed 250 billion tokens and 15,000 users in less than four months after launch, as the company adds U.S. dollar payments, email onboarding, and video generation to make its decentralized private AI infrastructure easier to access.
Private Computer launched on April 27 with seven AI models and has since expanded to 28 models available through a single OpenAI-compatible API and web console.
The platform has processed more than 250 billion tokens across 17 million requests and generated 15 million Trusted Execution Environment attestation proofs since launch.
0G publishes usage information through a public real-time dashboard, providing visibility into activity across the platform.
The latest update is focused on reducing the cryptocurrency-specific steps traditionally associated with decentralized infrastructure.
USD Mode is now generally available, allowing users to maintain balances and pay for AI usage in U.S. dollars.
Customers can add funds by card through Stripe rather than first acquiring a cryptocurrency token.
New users can also create an account using an email address or social account, complete a guided first deposit, and begin using Private Computer without purchasing a token.
0G is positioning the experience more like conventional software-as-a-service infrastructure while retaining the privacy and verification features of its decentralized AI architecture.
Users can pay in dollars and select a trust tier for individual requests.
Twenty of the platform’s 28 models currently support verifiable execution.
The company said Private Computer operates with zero data retention, with prompts processed in memory rather than stored or used for model training.
The update also expands Private Computer into video generation.
MiniMax’s Hailuo 3, which was added to the platform on August 3, supports text-to-video and first-frame image-to-video generation directly through the browser.
That addition means customers can now access text, image, audio and video models through a single Private Computer account.
Of the 20 models supporting verifiable execution, 15 use verified routing through TeeTLS.
Another five use TeeML, where prompts remain inside the hardware enclave during inference.
Each model includes a privacy designation on 0G’s public models page so customers can identify the verification and privacy characteristics associated with the model they select.
Private Computer is designed as a consumer-facing gateway to 0G’s broader decentralized AI infrastructure.
The company is attempting to hide much of the underlying blockchain complexity from users while preserving access to verifiable computing and privacy features.
That strategy reflects a broader challenge for decentralized infrastructure providers, which must compete with conventional cloud and AI platforms that typically require little knowledge of wallets, tokens or blockchain mechanics.
By adding dollar-denominated balances, card payments and email authentication, 0G is aiming to make decentralized AI services accessible to users who may have no interest in interacting directly with cryptocurrency infrastructure.
The platform’s growth from seven to 28 models in less than four months has also expanded the number of workloads customers can run through the service.
The addition of multimodal capabilities broadens those workloads beyond text-based inference into image, audio and video generation.
For 0G, the 250 billion-token milestone provides an early measure of usage as the company works to turn its decentralized AI infrastructure into a product that feels more like a conventional cloud AI service.
KEY QUOTES:
“Privacy should not require a crypto wallet. 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.”
Michael Heinrich, Co-Founder and CEO of 0G Labs
