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0G 0G Private Computer processes more than 250 billion tokens, expands to 28 models and supports US dollar payments.
While expanding its private AI services to 28 models and adding US dollar payment capabilities, 0G Private Computer has processed more than 250 billion tokens, involving 17 million requests.
Summary
Since its launch in April, 0G Private Computer has attracted 15000 users in less than four months. Users can now recharge their U.S. dollar balances with their bank cards through Stripe without having to purchase cryptocurrency tokens. 20 of the platform's 28 AI models provide verifiable execution through two TEE-based systems.
According to a press release issued by 0G Labs on August 18, Private Computer has generated 15 million trusted execution environment certificates since its launch on April 27. The platform initially provided 7 models, but now offers 28 models through a web console and OpenAI API-compatible application programming interfaces. Users can access text, image, audio and video generation tools through one account.
According to the company, Private Computer does not retain user data. Prompt words are processed in memory and are not stored after use, nor are they added to the model training dataset. Usage data and certification activities are displayed through public real-time dashboards.
0G Private Computer adds US dollar and bank card payments
The press release stated that the US dollar model is now fully available, with users having the option to maintain their account balance in US dollars and recharge with a bank card through Stripe. Email login and a guided first deposit process have also been introduced. Previously, interacting with decentralized AI infrastructure may require users to set up cryptographic wallets, obtain supported tokens, and complete on-chain transactions. Under the new process described by 0G Labs, customers only need to create an account using their email address to start using the service without having to purchase tokens.
For U.S. users, the main access change is the ability to pay in U.S. dollars through the familiar bankcard payment method. The company did not announce new exclusive U.S. token, investment products or securities offerings in this update. Users can select the trust level in each request, and 20 of the 28 models listed provide verifiable execution. Even if the selected model uses a platform-centric certification infrastructure, payments can still be made in US dollars.
"Privacy should not require a cryptographic wallet," said Michael Heinrich, co-founder and CEO of 0G Labs. "With this upgrade, anyone can pay for AI in US dollars while receiving privacy protection from hardware verification. Decentralized infrastructure goes mainstream by adapting to people's needs rather than requiring them to change payment methods."
20 AI models support verifiable execution
A trusted execution environment is a protected area of computer hardware that isolates data and code during task execution. According to 0G Labs, in Private Computer, the technology is used to process prompt words without exposing them outside of a protected environment. Of the platform's 20 verifiable models, 15 use a system called TeeTLS for verification routing, and the other 5 use TeeML, leaving prompt words within the hardware safe zone when the model generates responses.
The model page displays a privacy tab so that users can check the available execution types before submitting a request. According to data provided by the company, 8 of the 28 models currently do not support the same verifiable execution functions. TEE-based computing is also being tested in other projects in the cryptocurrency and blockchain space. A March report on Origins detailed $8 million in financing for a modular AI network that separates heavy model workloads from blockchain-based verification.
In April, crypto.news reported on 0G's Qianwen integration, connecting Alibaba's family of large language models with applications and AI agents built on 0G infrastructure. The integration is designed to allow developers to use Qianwen models in on-chain applications rather than relying solely on traditional AI platforms. Private Computer uses the same infrastructure in a consumer-facing way, rather than requiring users to directly manage the blockchain layer, it presents the model through account dashboards and standard APIs used by many AI developers.
Video generation expands 0G model lineup
According to a press release, Hailuo 3, a video model developed by MiniMax, joined Private Computer on August 3. It supports text generation video and first frame image generation video through the platform browser interface. This new feature means customers can access video, images, text and audio models without having to create separate accounts for each format. The number of Private Computer models has increased from 7 when it was launched to 28, while 0G Labs reported that it had 15000 users during the same period.
Model access can also be handled through OpenAI-compatible APIs. Compatibility allows developers who already use this API format to connect to their applications without having to create a completely different request structure for 0G's services. The company said users can choose a model and verification level for a single request. Its public dashboard records total activity data, including 250 billion tokens reported, 17 million requests and 15 million TEE certificates.
Private Computer connects to 0G blockchain stack
Private Computer operates as an access point to other parts of the 0G network, including decentralized computing, distributed storage, data availability services, and a blockchain compatible with Ethereum virtual machines. The blockchain is called the Aristotle main network and will be launched together with 0G tokens in September 2025. At the time, a report on its launch in Kraken described 0G as a modular, first-layer network that supports decentralized AI applications. The report said the project has raised more than $350 million, including a $40 million seed round and a $250 million token purchase commitment received by the 0G Foundation. Investors mentioned in early funding include 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 is working with more than 100 partners. The company lists organizations connected to the ecosystem such as Chainlink, Google Cloud and Alibaba Cloud.
