DGrid2026-08-27 09:21:33DGrid launches validator nodes to extend PoQ into an economically weighted AI verification networkDGrid said it launched validator nodes on Aug. 25, 2026, framing the move as an upgrade to how trust is established in AI infrastructure rather than a routine product addition. The company’s system centers on PoQ, short for Proof of Quality, a verification mechanism it says is used to audit the quality of model services across its network. With validator nodes now live, that process is no longer described only at the protocol level. It is carried out continuously by network participants and linked to staking through operating weight. According to DGrid’s description, validator nodes send randomized blind-test requests to LLM providers, simulate production-like usage instead of relying on fixed benchmarks, score outputs across quality, latency, stability and format compliance, and then write the results on-chain. The stated goal is to detect cases in which a provider’s real service diverges from what it claims to offer, including model substitution, degraded service tiers or opaque routing. DGrid also ties the system to $DGAI staking. Users can delegate tokens to validator nodes, and stake affects each node’s operating weight inside the network. DGrid’s staking page shows that 48 hours after validator nodes went live, total staked volume had exceeded 26M $DGAI, with nearly 10,000 users participating. The broader architecture described by DGrid includes an AI Gateway, a Model Marketplace, PoQ-based verification, validator-node execution and staking-based economic security.970
DGrid AI2026-08-19 07:48:56DGrid AI pitches on-chain verification and open markets as a new stack for AI infrastructureDGrid AI is positioning itself as a decentralized AI infrastructure protocol built around three pieces: a unified access layer for model calls, an on-chain quality verification system called Proof of Quality, and an open marketplace for model providers. In the report cited by Foresight, the project argues that today’s centralized AI platforms still leave developers and enterprises exposed to three structural problems: opaque service quality, vendor lock-in, and closed value distribution. The article says DGrid has already served more than 15,000 paying users as of the first half of 2026 and generated $23 million in verification revenue, while its AI Arena has drawn more than 500,000 users to take part in model evaluation. With the release of the $DGAI token model and an upcoming token generation event, DGrid is presented as moving from an AI service product toward a decentralized infrastructure protocol. The piece also details DGrid’s broader product lineup, including AI Gateway for developers, Model Marketplace for suppliers, AI Arena for preference and evaluation data, and DClaw for agent deployment and on-chain identity. It describes $DGAI as a coordination token for staking, payments, incentives, and governance, while framing the next test for the project around whether existing revenue and user activity can translate into sustained decentralized network usage.2580
