grid

Bitget GetAgent Playbook officially launches the intelligent grid strategy. After users select the trading type, strategy style, and investment amount, the AI system automatically generates grid intervals, grid quantities, leverage, and take profit/stop loss parameters based on real-time market conditions.Unlike traditional single-coin grids, the intelligent grid can automatically rotate between multiple assets according to market conditions, reassessing the market every 4 hours and dynamically adjusting strategies, with risk checks executed every 15 minutes; if there are no suitable targets, the system will remain in cash.The GetAgent Playbook was launched in June this year. Bitget has covered AI-driven market analysis, strategy building, trade execution, and risk management through products like GetAgent, GetClaw, and Agent Hub. Data shows that over 1 million users have used AI trading through GetAgent and GetClaw, with a cumulative trading volume exceeding 1.2 billion dollars.

Bitget launches the PoolX event, and DGrid AI (DGAI) is participating in this event. Users can lock up XAUT to share 83,000 DGAI airdrops, with a personal lock-up limit of 300 XAUT. The lock-up period is from August 31, 19:00 to September 5, 19:00 (UTC+8). This PoolX session supports a long-term holding bonus mechanism, where the system will provide additional bonuses based on the user's lowest XAUT holdings over the past 15 days for the effective locked amount.During the event, users with a positive net recharge amount of XAUT will receive a 3% XAUT interest coupon after the event ends; users participating in PoolX for the first time and meeting the net recharge conditions will receive a 12% XAUT interest coupon.

The decentralized AI infrastructure DGrid AI completed its TGE yesterday at 16:00, with $DGAI simultaneously launching on multiple exchanges including OKX Boost, Gate, Bitget, KuCoin, Kraken, MEXC, and PancakeSwap.According to CoinMarketCap data, the opening price of $DGAI was $0.1, reaching a high of $0.85 within 12 hours after launch, an increase of 8.5 times. As of today at 16:00, $DGAI is priced at $0.72, with a current FDV of approximately $720 million.$DGAI is the native token of the decentralized AI network DGrid, primarily used for node staking, AI service payments, ecosystem incentives, and governance.

According to official news, the decentralized AI infrastructure network DGrid AI announced that its token $DGAI will launch its TGE on August 24, 2026, at 16:00, and will simultaneously open spot trading on multiple exchanges including OKX Boost, Kraken, Bitget, Gate.io, Kucoin, and MEXC.According to previous news, DGrid AI has announced the $DGAI token economics, of which 50% will be used for node network operation and node incentives, 8% will be used for airdrop rewards, and the $DGAI airdrop will be distributed to users' linked exchange accounts on the day of TGE.

According to the official announcement, Gate will launch DGrid AI (DGAI) spot trading on August 24 at 16:00 (UTC+8), and DGrid AI (DGAI) will go live on the instant exchange platform at 17:00 (UTC+8).

Eclipse founder Neel Somani published an analysis stating that by leasing diesel generator sets, AI data centers can bypass grid access bottlenecks and complete deployment within months. Taking a 50MW inference data center as an example, about 40 leased diesel units are needed (monthly rent of approximately 2 million USD), consuming about 2.5 million gallons of diesel each month (approximately 12.5 million USD), with the cooling system costing about 1 million USD, and the total hardware investment being about 1.9 billion USD (including approximately 21,000 GPUs and supporting network equipment). Based on similar leasing agreements like Colossus 2, monthly revenue could reach approximately 180 million USD.

The decentralized AI infrastructure network DGrid AI announced the $DGAI token economic model, with a total supply of 1 billion $DGAI tokens. Of this, 50% will be allocated to node network operations and node incentives, 15% will be allocated to community growth and ecological participation, 10% will be allocated to team incentives and long-term development, 10% will be allocated to early investors, 8% will be allocated to airdrop rewards, and 7% will be allocated to initial liquidity and secondary market support.According to previous news, DGrid AI opened the $DGAI airdrop eligibility inquiry and application channel on August 17, and the window will remain open until 16:00 Beijing time on August 22.

The decentralized AI infrastructure project DGrid AI announced today that the $DGAI token airdrop claim channel officially launched on August 17, 2026, and the claim window will remain open until August 22 at 16:00. Eligible users can check their airdrop eligibility, select a claim option, and bind their exchange accounts through the official platform. Tokens will be directly distributed to the bound accounts on the day of the TGE.According to previous news, DGrid AI has completed a $5 million seed round financing, and its Genesis plan is expected to exceed $23 million in revenue in the first half of 2026.

Vangrid announced the completion of a $9 million seed round financing, with participation from HashKey, Borderless, Crypto.com Capital, Animoca Brands, Gate Labs, and Mapleblock Capital.The main business of the project is to collect spatial data, where users collect geographic location data through smartphones and receive rewards. The data is sold to Physical AI developers, including robotics, autonomous agents, and digital model developers, after being 3D modeled and verified on-chain. Vangrid stated that its network is built on Base and uses Ethereum proof services to verify data batches, with public browsers showing that it has completed nearly 100,000 verification collections and over 1,300 batches of proof.

The decentralized AI infrastructure network DGrid AI announced an official partnership with Meituan LongCat and has launched the LongCat-2.0 model under Meituan. Global developers and AI Agent builders can now access this model through the DGrid decentralized AI Gateway, providing low-cost and highly available access.LongCat-2.0 is designed for Agentic Coding in real-world scenarios, featuring a 1.6T parameter architecture with approximately 48B activations, supporting efficient long-context reasoning of 1 million tokens, and enhancing the processing speed of long text workflows through LongCat Sparse Attention. The model integrates agent, reasoning, and interaction capabilities, excelling in code understanding, generation, and execution.DGrid is a decentralized AI infrastructure that aggregates mainstream AI models globally, currently integrating over 200 models including Claude, GPT, Gemini, MiniMax, and GLM, enabling one-stop access through a unified API. The integration of LongCat-2.0 marks another expansion of DGrid on the model supply side. As more high-quality models continue to be launched, DGrid is becoming a unified entry point for AI developers to access diverse model capabilities, providing more open and flexible infrastructure support for the next generation of intelligent applications.

The decentralized AI intelligent network DGrid announced that its decentralized AI model marketplace (DGrid Model Marketplace) is officially online.The marketplace is open to three types of model providers: model developers, model fine-tuners, and model deployers with computing infrastructure capabilities. They can freely list models on the platform, set their own prices, and earn real-time settlement revenue when models are called. For developers, the marketplace provides a unified entry point to discover, compare, and directly call various models through a unified API, without the need to switch between different platforms or connect to multiple interfaces.DGrid stated that the model marketplace is the "supply side" of its network, working in coordination with the AI Gateway (access side) responsible for calls, connecting AI creators and users. Currently, DGrid has aggregated over 200 mainstream models, including Claude, GPT, Gemini, MiniMax, GLM, Kimi, and has more than 15,000 paid users.In terms of quality assurance, the marketplace is supported by DGrid's self-developed Proof of Quality (PoQ) mechanism. PoQ conducts independent, random sampling of model providers through the platform's own benchmark test set and records the verification results on-chain to ensure service quality and pricing transparency—this mechanism does not touch user call data. The core members of the DGrid team have doctoral backgrounds from institutions such as Stony Brook University and have published 4 academic papers related to PoQ.Currently, the DGrid Model Marketplace is officially online. Model providers can apply to join, and developers can also experience one-stop AI model discovery and access services through the platform.

Decentralized AI Intelligent Network DGrid AI announced the latest data: cumulative revenue in the first half of 2026 exceeded $23 million, with more than 15,000 paid subscription users.DGrid also disclosed the completion of a $5 million seed round financing, with investors including Waterdrip Capital, IoTeX, Paramita VC, Zenith Capital, and other institutions. Achieving $23 million in revenue with $5 million in financing demonstrates high capital efficiency.DGrid aggregates over 200 mainstream models such as Claude, GPT, Gemini, and MiniMax through a unified AI Gateway, and ensures service quality and pricing transparency with its self-developed Proof of Quality (PoQ) mechanism, continuously building an open and verifiable decentralized AI infrastructure.

BTTInferGrid has officially launched, opening a new chapter in the decentralized AI (DeAI) track for the ecosystem. As a significant ecological upgrade to the existing BTFS services, this platform aims to break traditional computing power barriers through a trustless multi-validator consensus mechanism, establishing a solid guarantee of computational integrity. With the $BTT token serving as the foundational option for unified incentives and settlements within the ecosystem, it seamlessly and efficiently connects idle GPU resources with a wide range of AI developers. Under this network architecture, BTTInferGrid not only provides ultra-cost-effective, elastically scalable on-demand computing services for AI inference, lowering the threshold for large model inference and operation; it also empowers global hardware nodes, allowing the supply side to easily convert idle GPUs into high-value earnings through a transparent reward mechanism based on performance weight. BTTInferGrid is leading the AI infrastructure into a new round of paradigm revolution towards decentralization, relying on a strong consensus of cryptoeconomics.

The decentralized AI infrastructure network DGrid AI today released its latest research paper "PoQ-Judge," proposing a multi-architecture quality assessment framework that does not require reference answers. This means that in real deployment environments, there are often no standard answers for comparison, yet the protocol can still reliably score the quality of model responses and allocate incentives accordingly. This is a key piece that has long been missing in DGrid's decentralized LLM inference quality assessment system.PoQ (Proof of Quality) is a consensus mechanism independently developed by DGrid, designed to prevent model providers from deploying low-quality models, fabricating data, or hiding computational costs at the protocol level, thereby ensuring service quality and pricing transparency. The DGrid team has been continuously working on PoQ and has published four research papers to date. The newly released PoQ-Judge has trained three assessment models covering different quality and cost scenarios, achieving a correlation of up to 0.747 with human scoring on the retention test set, significantly outperforming all previous reference answer-based evaluators, while reducing assessment costs by over 72% through cascading evaluation and online weight calibration.With the implementation of PoQ-Judge, the entire process from quality assessment → scoring → incentive allocation has completely eliminated reliance on reference answers, thus establishing a closed loop for the quality of decentralized LLM inference.DGrid AI is a decentralized AI intelligent network dedicated to building an open, transparent, and community-driven AI infrastructure. Focusing on model invocation and application experience, DGrid has launched several core products: the AI Gateway that aggregates mainstream large models globally, the one-click deployment platform for AI agents DClaw, the anonymous model competition platform AI Arena, and the intelligent model recommendation assistant Dori, providing one-stop services for developers and users. It is reported that DGrid AI's revenue has surpassed 20 million dollars in six months.

The decentralized AI infrastructure network DGrid AI announced an official partnership with MiniMax. Both parties will provide low-cost, high-availability access to MiniMax models for global developers and agents through the DGrid decentralized AI Gateway, jointly promoting its adoption in a broader ecosystem.DGrid is a decentralized AI infrastructure that aggregates mainstream AI models from around the world. It currently connects over 200 models, including Claude, GPT, and Gemini, enabling one-stop access through a unified API. The platform is aimed at developers and AI agent builders, offering high-availability, low-latency model access services, and is committed to lowering the entry barriers and usage costs for AI applications.MiniMax is a global leader in general artificial intelligence across all modalities and is one of the few AI companies capable of self-developing models for text, voice, video, music, and other modalities. This official collaboration with MiniMax represents another significant expansion for DGrid on the model supply side, marking a new step in connecting mainstream model vendors and building a decentralized AI ecosystem. With the integration of more high-quality models, DGrid is becoming a unified entry point for AI developers to access diverse model capabilities, providing more flexible and open infrastructure support for the next generation of intelligent applications.As part of the initial collaboration, MiniMax's flagship model M3 has been launched on DGrid, and DGrid Premium users can enjoy a 55% discount directly.