0G Private Computer has processed more than 250 billion tokens across 17 million requests while expanding its private AI service to 28 models and adding U.S. dollar payments.
In an Aug. 18 press release shared with crypto.news, 0G Labs said that Private Computer had also produced 15 million Trusted Execution Environment attestation proofs since launching on April 27.
The platform began with seven models and now offers 28 through a web console and an application programming interface compatible with OpenAI’s API. Users can access text, image, audio, and video generation tools from one account.
According to the company, Private Computer does not retain user data. Prompts are processed in memory, are not stored after use, and are not added to model-training datasets. Usage figures and attestation activity are displayed through a public real-time dashboard.
0G Private Computer adds dollar and card payments
USD Mode is now generally available, giving users the option to maintain account balances in U.S. dollars and add funds by card through Stripe, the release said. Email sign-in and a guided first-deposit process have also been introduced.
Previously, interacting with decentralized AI infrastructure could require users to set up a crypto wallet, acquire a supported token, and complete an on-chain transaction. Under the updated process described by 0G Labs, customers can create an account with an email address and start using the service without buying a token.
For U.S. users, the main access change is the ability to pay in dollars through a familiar card-based checkout. The company did not announce a new U.S.-specific token, investment product, or securities offering as part of the update.
Each request lets users select a trust tier, with verifiable execution available on 20 of the 28 listed models. Payments can take place in dollars even when the selected model uses the platform’s decentralized verification infrastructure.
“Privacy should not require a crypto wallet,” 0G Labs co-founder and 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.”
Twenty AI models support verifiable execution
Trusted Execution Environments are protected areas within computer hardware that isolate data and code while a task is being completed. Within Private Computer, the technology is used to process prompts without exposing them outside the protected environment, according to 0G Labs.
Of the platform’s 20 verifiable models, 15 use a system called TeeTLS for verified routing. Another five use TeeML, which keeps prompts inside a hardware enclave while a model generates its response.
Model pages display privacy labels so users can check the type of execution available before submitting a request. Eight of the 28 models do not currently carry the same verifiable-execution support, based on the figures supplied by the company.
TEE-based computing is also being tested elsewhere in the crypto and blockchain sector. A March report on Origins detailed an $8 million raise for a modular AI network that separates heavy model workloads from blockchain-based verification.
In April, crypto.news covered 0G’s Qianwen integration, which connected Alibaba’s large language model family to applications and AI agents built on 0G infrastructure. The integration was designed to let developers use Qianwen models within on-chain applications rather than rely only on conventional AI platforms.
Private Computer takes a consumer-facing approach to the same infrastructure. Instead of asking users to manage the blockchain layer directly, the service presents its models through an account dashboard and a standard API used by many AI developers.
Video generation expands the 0G model lineup
Hailuo 3, a video model developed by MiniMax, joined Private Computer on Aug. 3, according to the release. It supports both text-to-video generation and first-frame image-to-video generation through the platform’s browser interface.
The addition means customers can access video, image, text, and audio models without creating separate accounts for each format. Private Computer’s model count has quadrupled from seven at launch to 28, while 0G Labs reported reaching 15,000 users during the same period.
Model access can also be handled through the OpenAI-compatible API. Compatibility allows developers already using that API format to connect their applications without creating a completely different request structure for 0G’s service.
The company said users can choose between models and verification levels for individual requests. Its public dashboard records aggregate activity, including the reported 250 billion tokens, 17 million requests, and 15 million TEE proofs.
Private Computer connects to 0G’s blockchain stack
Private Computer operates as an access point for the other parts of 0G’s network, which include decentralized computing, distributed storage, data availability services, and an Ethereum Virtual Machine-compatible blockchain.
Known as Aristotle Mainnet, the blockchain was launched alongside the 0G token in September 2025. At the time, a report on its Kraken listing described 0G as a modular layer-1 network built to support decentralized AI applications.
The September report said the project had raised more than $350 million, including a $40 million seed round and a $250 million token purchase commitment obtained by the 0G Foundation. Investors named in the earlier funding included Hack VC, OKX Ventures, Delphi Ventures, Samsung Next, and Animoca Brands.
In its latest release, 0G Labs said its ecosystem has now raised more than $360 million and works with over 100 partners. The company listed Chainlink, Google Cloud, and Alibaba Cloud among the organizations connected to the ecosystem.
