Gaia Launches Edge OSS Platform, Empowering Smartphone Manufacturers To Deploy Advanced AI
In Brief
Gaia’s Edge OSS is a production-ready, privacy-focused AI platform that enables smartphone manufacturers to deploy on-device intelligence independently of cloud infrastructure, supporting scalable, decentralized, and compliant AI ecosystems.
Developer of open-source infrastructure for constructing AI agents and decentralized inference, Gaia, introduced Edge OSS, a production-ready AI platform designed to equip smartphone manufacturers with private, on-device intelligence without dependence on proprietary cloud systems or extensive research and development expenditures. Edge OSS represents an important milestone for the mobile industry, offering a pathway to scalable AI sovereignty.
As AI becomes essential for device manufacturers, the platform provides an opportunity for mid-tier companies to access AI capabilities that were previously limited to the largest technology corporations.
Edge OSS provides a comprehensive infrastructure for on-device, privacy-centered AI that functions independently of centralized cloud services.
In contrast to conventional AI solutions that depend on application-specific integrations or cloud-based APIs, the platform introduces system-level coordination, allowing AI to operate seamlessly across applications, user contexts, and hardware environments.
This design supports real-time performance, regulatory adherence, and data sovereignty as core principles. Edge OSS also offers a complete set of developer resources, including a command-line interface, software development kit, and testing framework, all aimed at accelerating AI application creation while remaining aligned with regulations such as GDPR, China’s data localization requirements, and the EU AI Act.
With OpenAI-compatible interfaces, developers can readily integrate existing models, while the custom MCP protocol facilitates standardized communication among AI agents, services, and device hardware. The outcome is a local, adaptable, and resilient AI ecosystem.
Gaia Solves Operational Challenges For AI Market Access
Market forecasts indicate that by 2028, 70% of smartphones will require AI functionality, with the edge AI sector expected to surpass $66 billion by 2030. At the same time, consumer behavior is shifting, as 60% of smartphone buyers now place AI features among their top priorities when choosing a device. This fast expansion of AI in mobile technology highlights a challenge: only a limited number of manufacturers have the financial and technical capacity to create proprietary AI infrastructure.
Industry leaders such as Apple and Samsung can allocate more than $25 billion each year to research and development, while most other manufacturers operate with substantially smaller budgets.
Currently, very few companies are able to build proprietary AI systems from the ground up. Edge OSS addresses this imbalance by providing a cost-effective alternative, enabling manufacturers to deliver advanced AI capabilities without extensive development timelines or major initial investments. By reducing both technical and financial barriers, the platform makes it possible for the over 800 million smartphones shipped each year by various vendors to adopt AI with full independence.
“We’ve solved the operational challenge that has kept mid-tier manufacturers out of the AI race: how do you scale intelligent features across hundreds of millions of devices without building your own cloud infrastructure?” said Shashank Sripada, Co-founder and COO of Gaia, in a written statement. “Edge OSS provides production-ready AI sovereignty that scales from pilot to platform in months, not years,” he added.
Edge OSS Powers The Future Of Decentralized Intelligence
Beyond mobile applications, Edge OSS is developed with the evolution of the internet in mind, where intelligence is decentralized, user-owned, and interoperable. As Web3 technologies continue to expand, the platform delivers the infrastructure needed to support decentralized identity, user-directed AI agents, and secure, trustless coordination between applications and devices.
By enabling intelligence to function locally with built-in security, Edge OSS reflects the core principles of Web3, including transparency, autonomy, and decentralization. Collaborations are already underway with partners in decentralized storage, identity, and inference to establish a sovereignty-focused AI framework spanning devices, networks, and decentralized applications.
This forward-looking approach positions Edge OSS not only as a solution to current AI requirements but also as a long-term foundation for how intelligence will be created, deployed, and governed in a post-cloud environment.
Gaia is developing what is described as the first decentralized AI economy. Its infrastructure makes it possible to create, operate, and control AI inference through Nodes, Domains, and Validation, supported by GAIA Studio, GAIA Console, and Edge OSS. Agents can be deployed smoothly on-premises, on-device, or across decentralized networks with integrated privacy and verification. Participants in the ecosystem are able to generate revenue from models, expertise, and computational resources within a transparent and trustless environment.
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About The Author
Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
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Alisa, a dedicated journalist at the MPost, specializes in cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.
