ZeroStack builds a decentralized operating system, $0G, that provides secure, scalable compute and data availability for AI workloads. By leveraging proof‑of‑stake digital assets, the platform enables developers and enterprises to create AI‑native solutions while offering fee‑earning opportunities for validators and related businesses. Its infrastructure is designed to support trust‑minimized, high‑performance AI computation across the ecosystem.
Funding
Funding not disclosed
Founders
Product
Problem
Current AI workloads require centralized compute resources that can be costly, vulnerable to single points of failure, and limited by proprietary infrastructure, making it difficult for developers and enterprises to scale AI applications securely and efficiently.
Solution
ZeroStack offers $0G, a decentralized operating system built on a proof‑of‑stake blockchain that provides secure, scalable compute and data availability specifically for AI workloads. By distributing AI computation across a network of validators and participating nodes, the platform eliminates reliance on centralized hardware while maintaining high performance and trust‑minimized execution. Developers can deploy AI‑native solutions directly on the $0G network, leveraging built‑in mechanisms for data availability and compute verification. The ecosystem also enables capital providers to earn fees by staking assets and supporting the network, creating a financial incentive for maintaining robust compute capacity. This combination of decentralized infrastructure and incentive alignment aims to lower barriers to AI adoption and foster a resilient AI compute marketplace.
Target Audience
Primary customers are AI developers, enterprises building AI‑driven products, and compute‑oriented technology companies seeking decentralized, high‑performance AI infrastructure.
Features
- Proof‑of‑stake blockchain architecture optimized for AI compute and data availability
- Trust‑minimized execution environment that verifies AI workload results across distributed nodes
- Scalable compute provisioning that can dynamically allocate resources based on demand
- Integrated staking mechanism allowing validators and capital providers to earn fees for supporting the network
- Native support for AI‑specific data handling, ensuring secure and efficient access to large datasets
- Compatibility layer for developers to deploy existing AI models and pipelines without extensive rewrites