IONet Expands Partnership with GAIB to Accelerate Tokenized Decentralized AI Computing

# AIOnet and GAIB Expand Decentralized AI Computing Infrastructure AIOnet and GAIB are expanding their tokenized decentralized AI computing (DeAI) infrastructure. Following their collaboration announcement on February 26, GAIB has provided AIOnet with the initial H200 GPU, facilitating the seamless integration of decentralized blockchain networks and AI infrastructure. This partnership goes beyond mere computational power sharing, activating a tokenized GPU economic model and proposing a new paradigm that could replace the traditional centralized cloud market. # Decentralized AI Computing: More Affordable and Efficient Traditional GPU computation has been costly and monopolized by a few big tech companies. However, through AIOnet and GAIB's collaboration, AI developers can now access GPU computational power that is up to 90% cheaper than conventional costs. Here’s how the AIOnet and GAIB model works: - **GPU Owners**: Register hardware with AIOnet, lease out idle computing power, and generate revenue through GAIB's tokenized economic model. - **AI Developers**: Purchase GAIB tokens to access GPU computational power at lower prices when needed. - **Decentralized Network**: Unlike traditional centralized cloud services, this model allows for unrestricted expansion free from contractual and usage limitations. This model enables GPU suppliers to generate stable income while AI developers gain access to more flexible and affordable computational infrastructure, thereby democratizing AI computing. # Expanding Collaboration: The Future of Decentralized AI GAIB is strengthening its partnership with AIOnet, paving the way for a new market that connects AI developers and GPU suppliers. The introduction of H200 GPUs serves as a proof of concept for the model's functionality and scalability. AIOnet focuses on building decentralized cloud infrastructure, while GAIB connects this infrastructure to a tokenized economic model, enhancing competitiveness against existing centralized cloud services. This collaboration marks a significant milestone in the decentralization and tokenization of AI computational infrastructure. It is anticipated to set a new standard in AI computing through further collaborations with various AI projects.