The Dawn of Truly “Decentralized OpenAI”: ChainOpera AI Launches the World's First Decentralized Full-stack Super Agent AI economy
Powered by ChatGPTPALO ALTO, CA – ChainOpera AI, the blockchain L1 and full-stack AI operating system powering a next-gen super agent network, is now officially live. ChainOpera AI launches as a four-layer, full-stack "decentralized OpenAI" with decentralization embedded at every level — from a decentralized “ChatGPT” to its agent developer platform, model and GPU infrastructure, and protocol layer.
In just the past month, ChainOpera AI has surged to over 1 million daily active users and 150,000 paying users — marking it the fastest-growing and largest decentralized AI platform to date. Backed by $17M in venture funding from Finality Capital, Road Capital, IDG Capital, DHVC, and other top-tier investors and angels (CEO of EigenLayer, CEO of BabylonChain, CEO of Okx Venture, Coinbase VP, etc.), ChainOpera is built by a team of leading blockchain-AI researchers and former industrial AI leaders. Combining deep AI expertise with a crypto-native vision, the platform already integrates with BNB Chain and hosts over 1,000 community-built AI agents.
ChainOpera offers the first truly full-stack decentralized agent economy — spanning applications, developer tools, compute infrastructure, and protocol governance.
With its token launch imminent and a multi-agent social network (a WhatsApp/Telegram-like app powered by AI agents) rolling out in July, ChainOpera is rapidly emerging as the “Decentralized OpenAI” — offering second-market investors a rare opportunity to gain early exposure to the next AI mega-cycle.
Next, let’s delve into the four-layer decentralized OpenAI product stack, current business progress, and what’s ahead.
At the heart of ChainOpera AI is a four-layer architecture designed for composability, scalability, and decentralization:
🔹 1. Application Layer – AI Terminal & Agent Network:
ChainOpera’s flagship Super AI Agent platform, AI Terminal, connects millions of users with intelligent agents developed by the global community. This network already includes 1M+ daily active users (DAUs) and over 150,000 paying users.
🔹 2. Agent Developer Layer – Agent Creator Center:
Builders can now create and monetize agents using zero-code workflows, API integration, customizable frameworks, or prebuilt templates. These agents are backed by ChainOpera’s proprietary MCP (Model Context Protocol) Server Hub and integrated knowledge bases to boost contextual intelligence.
🔹 3. Model & GPU Layer – Model & Compute Network:
This decentralized model-serving infrastructure links GPU clouds globally, ensuring low-cost, scalable inference and training across edge, cloud, and mobile devices — soon to be strengthened by ChainOpera’s upcoming token-powered decentralized GPU platform.
🔹 4. Protocol Layer – CoAI Protocol and Layer 1 Blockchain:
At the foundation lies ChainOpera’s CoAI Protocol, enabling collaborative economics and secure value flows. Currently in TestNet, it empowers contributors (data, models, compute) with reward systems built on proof-of-intelligence.
Read more on the vision of “Decentralized OpenAI” here:
🔗 https://x.com/ChainOpera_AI/status/1917292784685572361
To reward early users and build momentum toward its anticipated token launch, ChainOpera has introduced the Prompt-to-Earn Campaign. Users can earn points by interacting with the AI Terminal app and participating in daily prompts and check-ins:
🔗 https://chat.chainopera.ai
🔑 Click the profile icon (top right) to start earning.
ChainOpera AI is led by two of the most accomplished minds at the intersection of artificial intelligence, blockchain, and distributed systems.
Prof. Salman Avestimehr – Co-founder, CEO
A globally recognized expert in AI, blockchain, and distributed computing, Prof. Avestimehr is the Dean’s Professor of Electrical Engineering and Computer Science at the University of Southern California (USC), where he also directs the USC-Amazon Center on Trustworthy AI. He earned his PhD from UC Berkeley in 2008 and has published extensively, with over 18,000 academic citations. His pioneering research has earned him prestigious honors including the Presidential PECASE Award from President Obama and elevation to IEEE Fellow.
Salman is also the co-founder of TensorOpera AI (FedML.ai), a leading enterprise platform for federated and generative AI. His academic influence extends to close collaborations with visionary leaders in the AI and Web3 space, including David Tse (Founder of BabylonChain and Salman's advisor), Sreeram Kannan (Founder of EigenLayer, Salman’s academia brother), and Pramod Viswanath (Founder of Sentient, close research partner).
Dr. Aiden He – Co-founder, President
Dr. Aiden He is a seasoned technologist with deep expertise in AI, blockchain, mobile, and cloud infrastructure. With over a decade of R&D experience at industry giants including Amazon, Meta, Google, and Tencent, he brings hands-on knowledge of building large-scale, production-grade AI systems. Aiden earned his PhD from USC in 2022 and has authored top-tier research cited over 13,000 times.
He co-founded TensorOpera AI (FedML) alongside Prof. Avestimehr, and is the original creator of the FedML open-source library, one of the most widely used frameworks in federated learning, bridging academia and industry (🔗 https://fedml.ai). His notable work includes PipeTransformer, a breakthrough paper that accelerated hybrid model parallelism using PyTorch’s DDP and Pipeline modules — featured by PyTorch itself (PyTorch blog). Dr. Aiden is the co-first author behind the FedNLP framework, the core decentralized AI technology behind Sahara AI (https://saharaai.com/learn/research), a foundational component of distributed natural language processing systems. He has also led the development of machine learning systems capable of handling 270 billion requests daily at Tencent/WeChat.
Notably, FedML and FedNLP have become a key technical enabler for large-scale decentralized AI platforms — including those used by leading projects in the space such as Sahara AI, Flock.io, and other decentralized AI projects — making ChainOpera a critical behind-the-scenes technology provider in this ecosystem. This underscores ChainOpera’s position not just as a participant, but as a true technical pioneer shaping the infrastructure layer of decentralized AI.
Together, Prof. Avestimehr and Dr. He have built ChainOpera AI as the convergence point of academic rigor, engineering scalability, and decentralized vision — delivering the infrastructure, protocols, and platforms necessary to scale the agentic AI economy.
As ChainOpera approaches its token generation milestone, the project remains deeply committed to transparency and community-driven development. With a robust foundation in federated learning, multi-agent systems, and decentralized model orchestration, ChainOpera is uniquely positioned to scale the next generation of agentic AI.
Since September 2024, ChainOpera has rapidly grown its ecosystem — now engaging a vibrant community of over 550,000 followers on Twitter and 500,000 members on Discord. In just nine months, the team has launched key components of its full-stack platform: the AI Terminal, Agent Developer Platform, Model & GPU Network, and the CO-AI Alliance, while also publishing its comprehensive whitepaper.
More than an infrastructure provider, ChainOpera is driving a transformative movement — one that empowers individuals to co-create and co-own the future of decentralized artificial intelligence.
Explore the Ecosystem:
🔗 AI Terminal: https://chat.chainopera.ai
🔗 Agent Developer Platform: https://agent.chainopera.ai
🔗 Model & GPU Platform: https://platform.chainopera.ai
🔗 CO-AI Alliance: https://chainopera.ai/alliance
🔗 Whitepaper: https://paper.chainopera.ai
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Welcome to the decentralized agentic AI economy — powered by ChainOpera AI.
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This post is commissioned by ChainOpera and does not serve as a testimonial or endorsement by The Block. This post is for informational purposes only and should not be relied upon as a basis for investment, tax, legal or other advice. You should conduct your own research and consult independent counsel and advisors on the matters discussed within this post. Past performance of any asset is not indicative of future results.