AI infrastructure refers to the foundational hardware and software components necessary for developing, training, and deploying artificial intelligence models. This includes specialized processors like GPUs, extensive data storage solutions, and robust networking capabilities. It also encompasses the software frameworks and platforms that support AI operations.
Context
The demand for scalable and efficient AI infrastructure is rapidly increasing within the cryptocurrency and Web3 sectors, driven by the computational requirements of advanced analytics and decentralized AI projects. Discussions frequently address the need for distributed and tokenized computational resources to broaden access to AI capabilities. Securing sufficient processing power remains a critical factor for the continued growth of AI-driven digital asset applications.
Gonka's launch of a high-efficiency decentralized AI compute network democratizes access, establishing a permissionless alternative to centralized cloud monopolies.
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