-- Decentralized AI infrastructure platform GemiGPT has announced the deployment of the first green-energy-powered GPT compute network of the world in the Sahara region of Africa. Now in its pilot phase, the project marks a major milestone in decentralizing large language model infrastructure while reducing the carbon footprint of AI computation. Built on the proprietary GPT-NEXUS distributed engine of GemiGPT, the network enables low-latency, low-carbon, and privacy-preserving compute scheduling without reliance on centralized data centers.
To support global developer participation, GemiGPT has simultaneously opened early access to its GPT compute API. Developers can now apply to test a range of decentralized AI use cases—from intelligent assistants to NFT generators and AI-based trading modules—ushering in what the platform calls the “democratization of AI capabilities.”
“We do not believe AI should live solely on the servers of tech giants,” said Ethan Calloway, GemiGPT founder and former OpenAI researcher. “Real artificial intelligence must belong to developers and innovators across the globe.”
The Sahara pilot uses solar-powered systems to run the GPT-NEXUS compute scheduler of GemiGPT alongside its Flow-Vault energy engine. Tasks such as model inference or fine-tuning are automatically split into microtasks and distributed across multiple edge nodes based on available energy and computational load. This significantly reduces both emissions and the data vulnerabilities typically associated with centralized compute environments.
Security and data integrity are managed through GPT-SAFE, the zero-trust architecture of GemiGPT, which enables encrypted data sharding, privacy-preserving sandboxes, and trusted execution for sensitive operations.
The pilot introduces several test-phase tools: a GPT dialogue and language processing API (Beta), the NFT generator of GemiGPT, a custom AI assistant builder (Beta), and a smart contract inference module set to launch soon.
In a further innovation, GemiGPT incorporates an AI-DAO governance system, where GPT nodes are empowered to participate in decentralized governance. This includes intelligent proposal filtering, collaboration intent detection, and autonomous decision-making support—enabling a more adaptive and participatory Web3 governance model.
As AI services expand globally, centralized infrastructure faces growing constraints—rising costs, security risks, and concentrated control. The distributed model of GemiGPT, driven by renewable energy and governed by an AI-native DAO, positions itself as a next-generation alternative.
By merging sustainability, open access, and secure compute distribution, GemiGPT offers a scalable framework for decentralized AI—redefining how GPT infrastructure is deployed and governed.
Contact Info:
Name: Nina Kartika
Email: Send Email
Organization: GemiGPT Neural Systems Inc.
Website: https://www.gemigpt.com
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