DGrid

Global AI Unification: Introducing DGrid AI Gateway

2026-01-13T06:00:00+08:00

The convergence of AI and blockchain technology holds immense promise for creating a more open, transparent, and user-governed intelligent ecosystem. However, a significant barrier stands in the way: fragmentation. In today’s nascent Web3 AI landscape, developers and users face a maze of disparate nodes, each with unique models, agents, and custom APIs.

Cost-Aware PoQ: The Missing Link for Economically Sustainable Decentralized LLM Inference

2026-01-07T06:00:00+08:00

Decentralized large language model (LLM) inference holds immense promise: it promises transparent, censorship-resistant access to state-of-the-art AI while eliminating single points of failure. Yet, for all its potential, decentralized inference has struggled to scale — hampered by clunky verification tools and inefficient resource allocation.

From Models to Markets: An In‑Depth Look at DGrid’s LLM & Agent Marketplace

2026-01-06T06:00:00+08:00

In the rapidly evolving intersection of Web3 and AI, centralized platforms have long dominated the AI value chain — controlling access to models, dictating pricing, and siphoning off most of the revenue, while Web3 AI solutions have struggled with fragmentation and limited pathways for creators to monetize their work.

DGrid AI x Galxe Starboard: Unleash Your Insights, Claim a Share of $100k in $DGAI & $USDT Rewards!

2026-01-05T06:00:00+08:00

The Web3 ecosystem thrives on community wisdom — and today, we’re putting that power front and center. To power this next chapter, DGrid AI is proud to officially live on Galxe Starboard, unlocking a $100,000 reward pool (featuring $DGAI and $USDT) to celebrate and reward the most visionary, insightful voices in our community.

In-Depth Analysis of the DGrid Smart Gateway and the Proof of Quality (PoQ) Mechanism

2026-01-05T00:12:45+08:00

As decentralized AI infrastructure continues to evolve, the core bottlenecks are no longer limited to raw compute supply. Instead, critical challenges have shifted to three fundamental dimensions within heterogeneous node networks: the efficiency of task routing, the reliability of service verification, and the fairness of value distribution.

DGrid AI Service Integration Guide: Configuring the DGrid API Key in Popular AI Front‑End Tools (e.g., Cherry Studio)

2026-01-04T09:30:00+08:00

This tutorial explains how to configure your DGrid service API Key in popular AI front‑end tools so that you can call DGrid’s AI model services directly inside these products.

DGrid Genesis Premium: Your Founding Stake in the Web3 + AI Economy

2026-01-02T09:30:00+08:00

The convergence of Artificial Intelligence and Web3 is no longer a theoretical narrative — it is a live, rapidly expanding economy. As we enter 2026, the window to move from passive observer to foundational stakeholder is opening.

DGrid × TradeTalent: Powering Practical AI-Driven Hiring with Verifiable Inference

2026-01-01T09:30:00+08:00

DGrid is partnering with TradeTalent to support AI-driven skill verification and talent matching in real hiring workflows. As enterprises increasingly rely on AI to screen candidates and match roles, two requirements become unavoidable: results need to be reliable, and the process needs to be explainable. This collaboration focuses on addressing both.

From Chaos to Unity: DGrid’s New Tools Simplify LLM Discovery, Testing & Integration

2025-12-26T14:31:45+08:00

As DGrid, we have spent the past time listening to a simple but persistent complaint from builders everywhere: It shouldn’t be this hard just to find, test, and integrate ​the right LLM.

DGrid × Unibase: Supporting Memory-Native AI Agents with Open Inference

2025-12-23T09:00:00+08:00

We’re excited to collaborate with Unibase, a leading decentralized AI memory layer powering autonomous agents with long-term memory and cross-platform interoperability.