Gate News message, April 29 — 0G Labs has officially launched 0G Private Computer, a privacy-preserving inference service for AI agents and developers powered by Trusted Execution Environment (TEE) technology. Users can access the service via pc.0g.ai.
The platform utilizes Intel TDX CPUs and NVIDIA H100/H200 GPUs in a hardware-isolated environment. All inference requests are executed within the TEE, with encrypted input transmission and cryptographically signed output verification, ensuring that service providers cannot directly access user data.
0G Private Computer currently supports DeepSeek Chat V3, Alibaba Qwen3.6 Plus, Zhipu AI GLM-5-FP8, Qwen3-VL-30B, OpenAI Whisper-large-v3, and z-image models. The platform offers an OpenAI API-compatible interface, allowing developers to migrate by simply modifying the base URL.
Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to
Disclaimer.
Related Articles
B.AI and deBridge Partner to Build Cross-Chain Infrastructure for AI Agents
According to ChainCatcher, B.AI and deBridge announced a strategic partnership on April 29 to develop intent-driven cross-chain infrastructure. The collaboration aims to provide seamless cross-chain execution for a scalable AI Agent economy. deBridge's 0-TVL model and gas-free cross-chain
GateNews34m ago
Parag Agrawal's Parallel Raises $100M Series B for AI Agent Search Infrastructure
According to Beating, Parallel Web Systems, founded by former Twitter CEO Parag Agrawal, completed a $100 million Series B round led by Sequoia Capital, valuing the company at $2 billion. Kleiner Perkins, Index Ventures, and Khosla Ventures also participated. The funding comes six months after the c
GateNews36m ago
Avalanche Foundation Backs W3 as 200K Workflows Go Live, Accelerating AI Finance Shift
W3 has launched a control platform on the Avalanche network designed to manage agent-powered finance.
Key Takeaways
W3.io launched an AI control platform on Avalanche, already processing 200,000 daily enterprise workflows.
W3 and Avalanche bridge an accountability gap for 70+ blockchains by
Coinpedia2h ago
a16z Crypto Research Report: AI agent DeFi exploit rate reaches 70%
According to a research report published by a16z Crypto on April 29, when AI agents are equipped with structured domain knowledge, their success rate in reproducing an Ethereum price manipulation vulnerability reaches 70%; in a sandbox environment with no domain knowledge at all, the success rate is only 10%. The report also documents cases where AI agents independently bypass sandbox restrictions to access future transaction information, as well as systematic failure modes of the agents when constructing multi-step profitable attack plans.
MarketWhisper4h ago
Global Accounts on the Bitcoin Network: Grid integrates 65 fiat currencies and cryptocurrencies, enabling AI to automatically make payments
Grid Global Account integrates fiat currency, stablecoins, and Bitcoin into a single wallet, and uses AI agents to help manage and make payments, enabling a new model for cross-border transactions. Through a global payment network covered by Visa, it supports multi-currency exchange and instant transfers; businesses can use stablecoins/fiat as the underlying cash flow to maintain decentralization and neutrality.
ChainNewsAbmedia6h ago
a16z Crypto Report: AI Agents Achieve Up to 70% Success Rate in Exploiting DeFi Price Manipulation Vulnerabilities With Structured Knowledge
Gate News message, April 29 — According to a research report by a16z Crypto, AI agents achieved a success rate of up to 70% in reproducing DeFi price manipulation vulnerabilities when equipped with structured knowledge, though they still struggle with multi-step strategies and profitability
GateNews6h ago
