Tianrong Internet Products and Services Inc. (OTC: TIPS) Announces Strategic Entry Into AI Inference Marketplace and Decentralized GPU Compute

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[{"type":"text","content":"\r\n\r\n \r\n \r\n Tianrong Internet Products and Services Inc. (OTC: TIPS) Announces Strategic Entry Into AI Inference Marketplace and Decentralized GPU Compute\r\n \r\n \r\n\r\n\r\nTianrong Internet Products and Services Inc. (OTC: TIPS) Announces Strategic Entry Into AI Inference Marketplace and Decentralized GPU Compute\r\nNew initiative positions TIPS at the intersection of AI infrastructure, decentralized networks, and the global sharing economy\r\n\r\n\r\n\r\n\r\n\r\nMOUNTAINHOME, Pa., Feb. 04, 2026 (GLOBE NEWSWIRE) -- Tianrong Internet Products and Services, Inc. (OTC: TIPS) (“TIPS” or the “Company”) today announced the launch of a new strategic initiative focused on building an AI Inference Marketplace, designed to provide affordable, scalable, and decentralized access to GPU compute for artificial intelligence applications. Beginning in 2026, demand for AI inference and training compute is projected to accelerate dramatically, driven by the proliferation of agentic AI systems, open-source models, and enterprise adoption. At the same time, centralized cloud providers are experiencing rising costs, supply constraints, and increasing vendor lock-in. TIPS believes this environment creates a significant opportunity for a decentralized alternative that unlocks underutilized GPU resources globally. A Decentralized “Sharing Economy” for AI Compute The Company’s AI Inference Marketplace is designed to enable individuals and organizations to rent out idle GPUs—such as those found in gaming PCs and workstations—to run open-source AI models. By aggregating distributed compute resources, the platform aims to reduce inference costs by an estimated 50–80% compared to centralized providers, while expanding access to powerful AI tools for hobbyists, developers, startups, and enterprises. TIPS’ strategy mirrors successful sharing-economy models by transforming dormant consumer hardware into productive, revenue-generating infrastructure, while democratizing access to advanced AI capabilities. Rapid Go-to-Market and Scalable Architecture The Company plans to pursue a phased rollout designed to validate demand quickly and scale efficiently: \r\n Initial MVP Launch This Month: A lightweight web application supporting AI inference workloads using established open-so...

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