Datagalax
Datagalax Documentation

Technical resources

for the decentralized

GPU cloud

Executive summary, network architecture, and core concepts. Everything you need to understand Datagalax's DePIN infrastructure.

AI GPU cluster

Executive Summary

📅 Last updated: February 21, 2026 ⚙️ Version: v2.0.1

Artificial intelligence (AI) is the single most important technology we've ever seen. But what only a relative few can see is the imminent transformation of life as we know it once artificial general intelligence (AGI) is achieved—as soon as 2027, by some accounts. Whoever is first to roll it out at scale will be granted an unprecedented level of control over the future of humanity.

The race to AGI has created a thirst for compute so insatiable that there is no conceivable scenario where demand can be met. This has sent big tech, governments, and anyone else with the resources scrambling to secure enough GPU chips, spending tens of billions in the process. For those without the resources, they are stuck relying on expensive cloud compute providers.

Decentralized physical infrastructure networks, or DePINs have emerged as an alternative. As distributed networks of aggregated small-scale infrastructure, they are designed to support rapid scale. In the compute context, this means GPU chips owned by data centers, tech companies, telecom companies, top gaming studios, and crypto mining companies.

As we move towards AGI, we are confronted with a problem that stands to alter the course of humanity if left unchecked: the unfair distribution of outcomes that stems from a handful of companies controlling a technology as important as AI. The widening AI wealth gap between the GPU Rich and GPU Poor is tilting the balance heavily in favor of big tech.

In response, we need to increase the accessibility of on-demand compute so that AI companies can claw control away from big tech and produce the innovative outcomes that will ensure AI is developed for the good of humanity. The only way to do this is by leveraging the power of DePINs to create a distributed network of affordable compute resources accessible by all.

Datagalax has built this distributed network. It aggregates enterprise-grade GPU chips into a single global network that increases the supply of on-demand cloud compute resources for the AI, gaming, and virtualized compute sectors. Enterprise GPU owners can unlock the potential of their underutilized GPU chips, while end users get access to the affordable on-demand compute resources they need to power their AI training and inferencing workloads, real-time rendering applications, and other virtualized compute operations.

What differentiates Datagalax from other cloud compute infrastructure is its ability to scale to meet the demands of rapid AI and cloud gaming growth. Its distributed model is designed to streamline network expansion so that it can deliver the most optimal and affordable compute resources on demand to wherever they are needed. Five key features make this possible:

  • Enterprise-grade compute resources
  • Low latency to support real-time rendering and AI inferencing use cases
  • A distributed model that can scale much faster than its centralized counterpart
  • Superior unit economics that make on-demand compute resources affordable
  • Decentralized ownership that allows resource owners to retain control

Datagalax is powering the future of gaming. It's the only cloud compute infrastructure designed specifically to support real-time rendering at scale for mobile and PC cloud gaming. It can serve gamers across geographies with a seamless, low-latency experience without the need for high-end hardware.

It's also enabling the evolution of AI interaction, through a combination of real-time rendering and AI inferencing that requires compute infrastructure not yet accessible outside of big tech. Datagalax's real-time rendering infrastructure is the foundation on which innovators can revolutionize the way we interact with AI models and enable the kind of innovation that will bring AI truly into everyday life.

As a DePIN, Datagalax leverages Web3 to enable incentivization and consumption tracking. Resource owners are rewarded in Datagalax's native $ATH token for providing resources to the network, while blockchain is used to track resource consumption by end users and facilitate the transfer of rewards.

Datagalax's cloud compute infrastructure network supports a number of critical use cases, including AI model training, AI inferencing, cloud gaming, cloud phone, and AI productization. In each case, its capability for scalable, affordable, low-latency compute can keep up with the demands of innovation in these areas.

The network consists of 3 core roles: Container, Checker, and Indexer. Containers, including the Datagalax Edge, are where the actual utilization of the compute resources takes place. Checkers ensure the integrity and performance of the Containers. Where required, Indexers match end users with suitable Containers based on end-user requirements. Together, they ensure that Datagalax can deliver the highest-quality compute to support rapid AI and cloud gaming growth.

📄 For more information, please read our whitepaper.

📘 Summary

Datagalax aggregates enterprise-grade GPU chips into a global DePIN network, enabling affordable, low-latency compute for AI, gaming, and virtualized workloads.

5 key features
  • Enterprise-grade resources
  • Low latency for real-time AI
  • Distributed, rapid scaling
  • Superior unit economics
  • Decentralized ownership

⚙️ Network roles

📦
Container Actual compute utilization (incl. Datagalax Edge)
Checker Ensures integrity & performance
🔗
Indexer Matches users to suitable Containers

🚀 Use cases

AI training Inferencing Cloud gaming Cloud phone AI productization