DePIN: The New Era of Decentralized Infrastructure

As the landscape of artificial intelligence evolves, the focus is shifting from large, resource-intensive Language Models (LLMs) to more efficient Small Language Models (SLMs). CUDOS Intercloud is at the forefront of this transition, emphasizing the need for decentralization, privacy protection, and sustainable scaling. SLMs are designed to provide faster inference, reduced deployment costs, and a smaller carbon footprint, making them ideal for applications ranging from Web3 to edge AI. This shift is not merely a trend but a necessary evolution in AI development, catering to the increasing demand for speed, precision, and adaptability in various applications. CUDOS Intercloud offers a decentralized infrastructure optimized for efficient AI deployment. With renewable-powered GPU nodes accessible through digital wallets, developers can enjoy permissionless compute access without the burdens of KYC or lock-ins. The platform provides real-time GPU orchestration and preloaded templates equipped with production-grade tools. For teams transitioning from LLMs to SLMs, CUDOS Intercloud features flexible environments such as Ollama for rapid prototyping, vLLM for high-throughput deployments, and OpenManus for multi-modal AI agents. These tools facilitate experimentation with lightweight models and streamline the deployment of tailored SLM solutions. The CUDOS Intercloud platform already hosts several optimized SLMs, including DeepSeek-R1 and Llama 3.3, which are ready for immediate deployment. These models are designed for real-world applications, providing developers with the resources needed to build decentralized stacks efficiently. The transition to SLMs represents a fundamental rethink of AI development, empowering developers while ensuring data security and minimizing resource consumption. CUDOS Intercloud is committed to supporting this shift, enabling the creation of decentralized agents and scalable AI solutions that are practical for production use.

The crypto market is experiencing notable shifts in 2025, with Shiba Inu maintaining a steady price around $0.000013. Despite its strong community support, which remains one of the largest in the crypto space, SHIB is struggling to generate new momentum. The trading volume has decreased compared to last year, and big investors appear less active. While Shiba Inu continues to be a popular entry point for retail traders, many holders from 2024 find themselves in a waiting pattern, hoping for new catalysts that could drive the price higher. In contrast, Bittensor (TAO) is gaining traction due to its unique focus on AI development. This blockchain platform rewards users for contributing machine learning models, turning computing power into tradable assets. As tech companies increasingly adopt decentralized AI solutions, Bittensor has announced collaborations with research groups in language and vision AI, leading to a current trading price of around $380. This project stands out for its practical applications, contrasting with the slower-paced Shiba Inu, which is struggling to reinvent itself amidst a crowded market. Another project to watch is Unilabs Finance (UNIL), which is positioning itself as a user-friendly AI platform for traders and investors. With over $13.4 million raised in presale funds and a token price of $0.009, Unilabs offers features like Market Pulse AI and AI Fund Strategies, aimed at enhancing portfolio management. Its organic growth signals genuine demand, distinguishing it from Shiba Inu's cultural reliance and Bittensor's developer-centric focus. As the market heads into Q4, Unilabs appears poised to lead the next rally, emphasizing the shift from meme-based investments to practical, AI-driven solutions for traders seeking immediate results.

In the rapidly evolving landscape of cryptocurrency, a new player has emerged that promises to revolutionize the way traders access market intelligence. DeepSnitch AI, developed by a team of seasoned on-chain analysts, aims to provide small traders with insights typically reserved for institutional investors. With Bitcoin recently holding strong above $118k, the timing of DeepSnitch's introduction is strategic, as it seeks to capitalize on the upcoming Q4 bull run. The platform features five specialized AI agents that continuously monitor blockchain activity, filtering out noise and surfacing only the most relevant information for traders. This could prove invaluable in a market where timely alerts can lead to significant financial gains. The five AI agents within DeepSnitch AI include tools like SnitchFeed, which tracks whale movements and sentiment shifts, and SnitchScan, designed to assess token safety while identifying high-potential investments. By consolidating critical updates into a single dashboard, DeepSnitch aims to streamline the research process for traders overwhelmed by the sheer volume of data in the crypto space. As the presale for DeepSnitch AI kicks off at a competitive price of $0.01571, early adopters are poised to benefit from its unique offerings, especially as the market gears up for potential bullish trends. In comparison, Bittensor (TAO) has established itself as a credible player in the AI coin sector, recently receiving a boost in credibility after Binance removed its Seed Tag. However, despite this recognition, TAO has experienced a decline of approximately 13% this month. While forecasts suggest a potential rebound, DeepSnitch AI's early-stage entry presents a compelling opportunity for traders seeking outsized returns. As the crypto market continues to evolve, the competition between established players like Bittensor and innovative newcomers like DeepSnitch AI is set to intensify, making it crucial for traders to stay informed and agile in their investment strategies.

The gaming industry is rapidly moving towards mobility and accessibility. With faster networks and better streaming technology, players no longer need expensive hardware to enjoy high-end PC gaming. Now, with the official launch of the DeepLink Android app, you can play AAA games, control your PC remotely, or rent high-performance machines — all from your smartphone. Three Core Features of DeepLink’s Android App 1. Remote Control of Your Own PC or Server Easily connect to and control your home PC or rented server from anywhere. No need to install massive game files locally — launch and play instantly. 2. Exclusive in Korea: Rent Esports Café Machines In South Korea, DeepLink has partnered with multiple esports cafés to let users rent high-end PCs directly from their phone. The cost is up to 20% cheaper than traditional cloud café services while delivering premium performance. 3. Smooth AAA and Esports-Level Streaming Thanks to DeepLink’s advanced low-latency streaming technology, even mid-range Android devices can run titles like GTA V, PUBG, and competitive esports games without lag. Why DeepLink Stands Out in the Industry 1. Price Advantage – Save up to 30% compared to traditional cybercafé rentals. 2. Low Latency – Proprietary streaming technology ensures smooth, responsive gameplay. 3. Web3 Integration – Supports DLC token payments and incentives, attracting both Web2 and Web3 users. Learn more: https://www.deeplink.cloud/blogInfo/deeplink-android-version-launch #CloudGaming #AndroidCloudGaming #MobileCloudGaming

IoTeX, a blockchain platform focusing on DePIN and AI, has announced a strategic partnership with HashKey Exchange in Hong Kong. The collaboration aims to establish an 'AI Ecosystem Center' to facilitate secure and compliant value exchange in the AI and digital economies era. Hong Kong's ambition to become a digital asset capital aligns with the synergy between digital assets and AI, driving economic growth through innovation. The partnership between IoTeX and HashKey Exchange will focus on developing infrastructure for AI-powered value economies. This includes exploring digital asset utility, leveraging blockchain technology for on-chain identity and compliance, and providing compliance and asset services. The launch of the 'IOTX/HKD' trading pair on HashKey Exchange marks a significant step towards creating a crypto ecosystem tailored for AI and machine intelligence.

Yonsei University has embarked on a groundbreaking initiative by integrating AWS Trainium with Theta EdgeCloud to enhance its AI agent research. This collaboration signifies a pivotal moment as Theta Network becomes the first blockchain to deploy Amazon's advanced AI chips. The Data & Language Intelligence Lab, led by Professor Dongha Lee, aims to scale AI research while optimizing performance and reducing costs. The use of AWS Trainium allows the lab to leverage a decentralized infrastructure for high-performance deep learning, providing specialized hardware that enables training AI models at significantly lower costs, thus enhancing efficiency and reproducibility in large-scale experiments. The innovative research at Yonsei focuses on developing conversational recommendation agents that simulate human-like interactions. Instead of traditional human evaluators, the lab employs AI-simulated users with distinct memory and personality traits to assess models in real-time. This approach utilizes Direct Preference Optimization (DPO) for model training, which allows agents to refine their responses without manual labeling. Consequently, the research team can simulate millions of user interactions daily, expediting the evaluation and improvement of their AI models, leading to faster iterations and increased accuracy. The partnership between Theta Network and AWS not only provides a cost-effective solution for AI research but also enhances scalability. With AWS Trainium instances designed specifically for deep learning tasks, institutions like Yonsei can experiment with large models and extensive datasets without incurring significant financial burdens. The integration of Trainium with Theta EdgeCloud's extensive network of over 30,000 NVIDIA GPUs offers researchers the flexibility to select optimal computing resources for their workloads. This collaboration marks a new era in AI research, showcasing how decentralized infrastructure and advanced AI hardware can revolutionize academic research and development in the field of artificial intelligence.