0G Labs

0G has launched **Private Computer**, a system that runs every AI inference request inside a Trusted Execution Environment (TEE). Key features: - Hardware-verified privacy for all AI operations - No third parties can access data—not even the service provider - Privacy built into the runtime, not just a cloud feature checkbox The platform aims to eliminate trust requirements when using AI services. Users can experience the system at [pc.0g.ai](http://pc.0g.ai). This represents a shift from privacy as an optional feature to privacy as fundamental infrastructure for AI applications.

**0G has released 0GM-1.0-35B-A3B**, their first proprietary AI model trained entirely on their decentralized GPU network. **Key specifications:** - 35B parameter Mixture of Experts (MoE) architecture with 3B active parameters - 262K token context window, extensible to 1M tokens - Apache 2.0 open-source license - Served inside a Trusted Execution Environment (TEE) on [pc.0g.ai](http://pc.0g.ai) **Performance highlights:** - Outperforms Qwen 3.6 35B on 12 of 14 MMLU-Pro subjects - Achieves 83.3% on AIME 2026 (+13.3 percentage points improvement) The model represents a shift from hosting AI to building sovereign AI infrastructure, with every inference TEE-attested for verifiability. Weights are available on [HuggingFace](https://huggingface.co/0G-AI/0GM-1.0-35B-A3B-0427).

**DSRV Labs published an independent analysis of 0G Private Computer**, highlighting a fundamental choice in AI privacy: relying on policy promises versus code-enforced guarantees. **Key technical approach:** - Every AI inference request runs inside a Trusted Execution Environment (TEE) - Hardware-level attestation proves what operations occurred - Zero visibility for anyone in the supply chain, including providers - Sealed inference architecture ensures end-to-end privacy The external review validates 0G's technical implementation of privacy-by-design rather than privacy-by-policy.

**0G Pay** has launched a streamlined payment solution that reduces the traditional four-step funding process to a single swipe. The new system allows users to: - Top up their account directly with a card - Spend $0G tokens onchain immediately - Eliminate multiple transaction steps This follows a broader trend in blockchain UX improvements, similar to Polygon Trails' one-click money transfer solution launched earlier this year. The update addresses a key friction point in crypto adoption by simplifying the onchain payment experience.

**0G launches 0GM-1.0-35B-A3B**, their first proprietary AI model released under Apache 2.0 license. **Key specifications:** - 35B parameter Mixture of Experts (MoE) architecture with 3B active parameters - Trained entirely on 0G's decentralized GPU network - 262K token context window, extensible to 1M - Outperforms Qwen 3.6 35B on 12 of 14 MMLU-Pro subjects - Achieves 83.3% on AIME 2026 benchmark (+13.3 percentage points) The model is now available on [Hugging Face](https://huggingface.co/0G-AI/0GM-1.0-35B-A3B-0427) and live on 0G Private Computer with TEE-attested inference.

**0G Foundation and Alibaba Cloud have partnered to bring Qwen large language models directly on-chain**, enabling autonomous AI agents to access intelligence without centralized APIs. **Key features:** - Token-based mechanism for direct on-chain model invocation - No API keys, fiat billing, or manual setup required - Programmable, on-demand access designed for autonomous systems - Eliminates intermediaries in AI model access This infrastructure aims to provide liquidity of intelligence for the emerging agentic economy, where AI agents can operate independently without relying on traditional centralized services. [Read full details](<https://news.bitcoin.com/0g-foundation-and-alibaba-cloud-partner-to-bring-qwen-llms-onchain/>)

**The Problem** Most AI providers ask users to trust that prompts remain private, but offer no verification. When AI agents manage wallets and execute trades, this trust model creates accountability gaps. **The Solution** 0G Labs presented their approach at EthCC, contrasting two models: - **"Trust me"**: Provider sees prompts with no verification - **"Verify it"**: TEE enclaves, onchain receipts, and cryptographic proof **How It Works** Blockchain infrastructure enables: - Sealed inference that proves models ran prompts without reading them - Verification as a core feature rather than an add-on - Cryptographic proof of AI interactions **Why It Matters** As AI agents increasingly handle financial transactions and sensitive operations, the shift from assumption-based trust to cryptographic verification becomes critical infrastructure.

**Flashback Labs has migrated from centralized cloud storage to 0G Labs' decentralized infrastructure.** Most AI memory applications store voice recordings and personal data on AWS or Google Cloud, requiring users to trust these corporations with sensitive information. Flashback took a different approach. The platform now operates entirely on decentralized storage, eliminating reliance on corporate cloud providers. Current metrics show **802 wallets** and over **3,300 memories** stored without any centralized infrastructure. This shift means no single company controls access to users' family stories and personal recordings. The move represents a practical application of decentralized AI infrastructure for consumer-facing products.

**FlashbackLabs reaches major milestone** with over 10,000 transactions on its privacy-focused AI platform. The platform enables: - Real user interactions with AI - User-owned memory and data storage - Privacy-first architecture powered by 0G DeAI Stack This follows 0G Labs' recent launch with Americanfort of an AI-native private transaction system, allowing AI agents to transact using names instead of wallet addresses while maintaining cryptographic security.

**0G Labs has launched a new campaign on Galxe**, inviting users to complete tasks and participate in quests. Key details: - Campaign is now live on the Galxe platform - Users can complete various tasks and quests - **More details will be released soon** - A brief wrap-up is scheduled for December This follows their previous Galxe campaign from April, which focused on building a unified DeFi experience across chains with leaderboard competitions. [Start the quest here](https://app.galxe.com/quest/0Glabs/GChUxtYgeX)