Latest DePIN AI News

Nvidia's recent achievement of briefly surpassing a $4 trillion market cap has sent ripples through the cryptocurrency landscape, particularly impacting AI-linked tokens. This surge underscores Nvidia's dominance in AI-driven GPU computing, and several tokens such as Render, ASI, Aethir, Jasmy, and FET are capitalizing on this momentum. These projects are not merely speculative; they are strategically leveraging Nvidia's technology for practical applications in decentralized AI, 3D rendering, and smart environments. For instance, Render has integrated with Nvidia's Omniverse to enhance collaborative 3D creation, while Aethir has reported record GPU usage metrics, showcasing the tangible benefits of Nvidia's infrastructure in the crypto space. Among the standout tokens, Render (RNDR) is emerging as a significant player, utilizing Nvidia's RTX and H100 chips for decentralized 3D rendering. The project's founder, Jules Urbach, is expected to announce support for upcoming Nvidia GPUs, further aligning Render with Nvidia's evolving roadmap. Currently, RNDR is trading above key moving averages, indicating bullish momentum and potential breakout targets. Similarly, Fetch.AI (FET) is part of the Artificial Superintelligence Alliance (ASI), which employs Nvidia GPUs for deep-learning applications. With the recent merger completed, ASI is set to roll out advanced protocols that leverage Nvidia's hardware, enhancing the capabilities of decentralized AI agents. JasmyCoin is also making strides by developing a Layer-2 metaverse chain that utilizes Nvidia's edge chips for IoT and AI applications. The collaboration with Panasonic for smart home integrations further solidifies its position in the market. As these Nvidia-native projects continue to evolve, they represent a convergence of high-performance computing and decentralized technologies. Nvidia's influence is not just a fleeting trend; it is reshaping the crypto landscape, positioning these tokens for potential growth as they align with the future of AI and Web3 technologies.

Volkswagen ADMT, the autonomous vehicle testing subsidiary of the carmaker, has partnered with Hivemapper’s Bee Maps to enhance its self-driving operations through real-time mapping data. This collaboration underscores the increasing reliance on crowdsourced geospatial data by autonomous ride-sharing companies, which are in search of more accurate and current mapping infrastructure. The street-level imagery collected by contributors using Hivemapper cameras will play a crucial role in validating Volkswagen's self-driving technology, particularly in improving the precision of curbside pick-ups and drop-offs. The partnership also highlights the rise of decentralized physical infrastructure networks (DePIN), which leverage blockchain incentives to facilitate real-world data collection. Hivemapper is recognized as a leading DePIN project within the Solana ecosystem. Ariel Seidman, CEO of Hivemapper, emphasized this transition from static to dynamic mapping, stating that the effectiveness of real-world autonomy is contingent upon high-quality data that adapts as rapidly as urban environments do. In recent months, Volkswagen's autonomous driving unit has been actively testing its 'Robotaxi' fleet and has entered into a partnership with Uber to introduce the service in U.S. markets, with pilot operations slated for late 2025 and a broader launch anticipated in 2026. Contributors to Bee Maps earn cryptocurrency rewards for their contributions, while AI technology processes the images to identify important elements such as signage, construction zones, and lane closures, ensuring that the data remains up-to-date.

Theta Network has announced the addition of Hongik University as the 21st academic customer of its EdgeCloud Hybrid platform. The High-Performance Data Processing & Analysis Lab at the university, led by Associate Professor Eun-Sung Jung, will collaborate with Theta as a research partner. The lab specializes in scalable computing platforms for AI, distributed systems, IoT, and cloud-native architectures, receiving support from various Korean governmental organizations and international institutions. This partnership aims to leverage Theta EdgeCloud Hybrid, the first decentralized hybrid GPU platform, to enhance research in AI model training, big data workflows, and real-time IoT systems. Professor Jung expressed enthusiasm about the collaboration, stating that Theta’s EdgeCloud Hybrid provides a valuable resource for advancing their data-driven research. The lab will utilize high-performance and cost-effective GPU capacity, particularly the NVIDIA 3000s and 4000s series, to accelerate their work in AI/ML, big data infrastructure, and edge-based IoT analytics. The lab's research focuses on high-performance computing for AI/ML, cloud computing for big data, and IoT data analysis, aiming to solve large-scale computing challenges in both academic and industrial settings. By joining a global network of prestigious institutions utilizing EdgeCloud Hybrid, including Stanford University and Seoul National University, Hongik University reinforces Theta’s mission to support open and scalable AI development through decentralized computing. Mitch Liu, CEO and Co-Founder of Theta Labs, highlighted the appeal of EdgeCloud due to the availability of high-performance NVIDIA A100s and H100s, as well as community-run NVIDIA 3090s and 4070s/4080s/4090s, which became accessible in the GPU marketplace on June 25. This partnership is expected to significantly advance research capabilities in AI and IoT fields.

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The Theta ecosystem is witnessing significant advancements as it gains traction across various sectors including sports, media, academia, and AI startups. In the latest June Roundup, several noteworthy developments have been highlighted. One of the major updates comes from EdgeCloud, which has launched EdgeCloud Hybrid, a decentralized GPU marketplace catering to both consumer and enterprise users. This innovation is expected to enhance the accessibility and efficiency of GPU resources within the Theta network. In the realm of sports, the NBA's Houston Rockets have officially introduced ClutchBot, an AI-powered mascot developed with EdgeCloud technology. Additionally, Major League Soccer's Philadelphia Union has announced plans to launch a new fan app that will leverage Theta's capabilities. These initiatives signify a growing trend of integrating blockchain technology into sports, enhancing fan engagement and interaction. Furthermore, ThetaCrypto.com has opened trading for THETA and TFUEL to U.S. users, coinciding with a new marketing and trading campaign aimed at expanding its user base. Esports continues to embrace the Theta ecosystem, with prominent organizations like Gen.G and Sheep Esports launching new AI bots on EdgeCloud. Moreover, Theta has joined Aethir's AI Unbundled Web3 x AI Alliance, further solidifying its position in the AI and blockchain intersection. AlphaCrypto has also introduced new trading analysis features powered by EdgeCloud, while EdgeCloud has added support for the DeepSeek R1 LLM. Looking ahead, the premier Theta hackathon, BlockJam, is set to take place during ThetaEuroCon in Berlin this September, promising to be a significant event for developers and enthusiasts alike.

IoTeX, the decentralized network bridging the physical and digital worlds, announced a significant expansion into artificial intelligence. This move introduces a unified ecosystem for Physical AI, a new category of intelligence powered by real-world data from machines, devices, and decentralized infrastructure. The transition of AI systems from digital environments to real-world applications emphasizes the importance of access to live, trustworthy data from the physical surroundings. IoTeX aims to enable a new class of AI grounded in reality by creating a shared infrastructure where machines and AI agents can coordinate via verified, real-time data, transforming decentralized networks into a foundation for responsive, real-world AI systems. Since its establishment in 2017, IoTeX has been at the forefront of technologies bridging physical devices with blockchain networks. The company's latest AI expansion aligns with its vision of linking the demand for real-time, verifiable data from AI developers with the supply of connected devices and DePIN participants on IoTeX. The AI infrastructure is powered by IoTeX Layer 1 Blockchain for secure coordination, the ioID Protocol for decentralized machine authentication, Quicksilver AI framework for transforming raw machine signals, and the IOTX Token for governance and incentives. Central to IoTeX's AI architecture are Realms, evolving knowledge bases of real-time, real-world data that synthesize insights from machines, people, and sensors to generate actionable intelligence in various sectors like mobility, health, energy, and robotics. Realms serve the dual purpose of providing real-time situational awareness for AI agents and offering dynamic environments for training the next generation of Physical AI models. As data flows into a Realm from connected devices and DePIN nodes, its intelligence becomes more precise, adaptive, and valuable, evolving into living knowledge bases that scale with participation. IoTeX's vision is to build dynamic economies of intelligence where machines, people, and AI collaborate to generate continuously evolving knowledge, forming a global constellation of verified environments where physical intelligence becomes a scalable and monetizable resource for real-world AI applications.

Theta EdgeCloud has unveiled an innovative feature: a large language model (LLM) inference service that provides distributed verifiability. This groundbreaking service allows AI agents and chatbots to perform LLM inference that is both trustworthy and independently verifiable, a first in the industry. By leveraging blockchain-backed public randomness beacons, Theta EdgeCloud combines advanced AI technology with the decentralized and trustless nature of blockchain, making it the only platform to offer such capabilities among both crypto-native and traditional cloud services. This development is particularly significant for sectors like enterprise and academia, where the integrity of computational outputs is crucial. The need for trust in AI outputs has become increasingly important as modern AI agents depend heavily on LLMs for generating responses and executing complex tasks. Traditionally, many frameworks have relied on centralized LLM APIs or hardware-enforced security, which can compromise the reliability of results. The introduction of DeepSeek-V3/R1, an open-source alternative to proprietary LLMs, paves the way for full-stack verification. Theta EdgeCloud has taken this a step further by implementing a Distributed Verifiable Inference system, ensuring that LLM outputs are reproducible and tamper-proof, even from the service provider itself. The newly released industry-grade verifiable LLM inference engine is integrated into Theta EdgeCloud, achieving public availability through deterministic token probability and verifiable sampling. By utilizing open-source models, users can independently verify the next-token probability distribution. The incorporation of a publicly verifiable random seed ensures that the sampling process is reproducible and transparent. This two-part design guarantees that no party can tamper with the model output, thereby enhancing the integrity of AI outputs. As AI continues to permeate various aspects of life and commerce, the ability to verify and trust these outputs will be essential for safety and security, marking a significant advancement in the field of AI.

In the realm of personal health technology, the BrushO AI-Powered Mining Toothbrush emerges as a groundbreaking innovation that redefines oral care. This intelligent toothbrush is not just a tool but a dedicated coach that transforms daily brushing into a precision health session. Equipped with Fully Smart Brushing (FSB) technology, the BrushO meticulously tracks every movement, pressure point, and coverage area in real-time. This advanced oral health tracking, powered by AI and IoT principles, provides users with instant, actionable feedback through a user-friendly app, effectively acting as a personal dental hygienist that guides users towards optimal oral health. The benefits of the BrushO extend beyond just improving brushing techniques. Over time, the AI analyzes users' habits and identifies trends, offering a holistic view of their oral health ecosystem. This data-driven approach allows for proactive prevention of dental issues by pinpointing potential problem areas before they escalate. Additionally, users receive personalized recommendations tailored to their unique habits, optimizing their brushing technique for maximum effectiveness. This continuous, AI-guided care translates into significantly improved gum health and reduced plaque buildup, ensuring long-term oral health benefits. What sets BrushO apart is its innovative 'brush-to-earn' model, which rewards users for contributing anonymized data to the BrushO network, part of the Decentralized Physical Infrastructure Network (DePIN). Built on Solana Blockchain technology, BrushO emphasizes data ownership and control, allowing users to maintain sovereignty over their health information. This model not only empowers users with tangible rewards in the form of $ORAL tokens but also fosters a collaborative health management system without compromising personal privacy. BrushO is not just a toothbrush; it’s a smart companion dedicated to enhancing well-being and transforming oral health practices for a healthier future.

In the rapidly evolving landscape of AI-powered cryptocurrencies, Bittensor (TAO), Mind of Pepe (MIND), and FloppyPepe (FPPE) are emerging as frontrunners poised to capture the attention of Silicon Valley venture capitalists. These projects are not only innovating within the blockchain space but are also laying the groundwork for an AI-driven Web3 economy. Bittensor allows users to earn by enhancing AI models on a decentralized network, while Mind of Pepe integrates AI into meme culture. FloppyPepe stands out by combining intelligent tools with crypto content creation, sentiment analysis, and community engagement, making it a strong candidate for exponential growth in the coming years. FloppyPepe (FPPE) is particularly noteworthy as it develops a comprehensive AI toolkit tailored for the next generation of crypto communities. Unlike its competitors, FloppyPepe boasts two AI agents and a chatbot, enhancing its influence in the digital space. Its innovative features include the Meme-o-Matic Machine, which generates viral memes, FloppyX, an AI video bot that revolutionizes crypto content creation, and FloppyAI, a personal chatbot that tracks trends and engages users. This multifaceted approach positions FloppyPepe as a significant player in the AI crypto market, with the potential for substantial returns on investment. As the market for AI cryptocurrencies heats up, FloppyPepe's presale offers a unique opportunity for early investors. With a low entry price and a promotional bonus for presale participants, the project aims to attract significant interest from both individual and institutional investors. Meanwhile, Bittensor is gaining traction with analysts who see it at a pivotal development stage, akin to Bitcoin's early days. Mind of Pepe has also made a strong debut, launching its AI agent to positive reception. As these projects continue to evolve, they represent a promising intersection of AI and blockchain technology, appealing to those looking for the next big opportunity in the crypto space.

Theta Labs has announced the beta release of its innovative hybrid edge cloud architecture for the Theta EdgeCloud network, aimed at providing enterprise-grade AI computing at significantly reduced costs. This platform integrates traditional cloud-based GPUs with a decentralized network of over 30,000 community-operated edge nodes, allowing for cost-effective access to high-performance computing resources. The introduction of a decentralized GPU marketplace ensures competitive and transparent pricing, addressing the challenges posed by the rising costs and limited availability of specialized hardware for AI and machine learning tasks. The Theta EdgeCloud serves as a dynamic marketplace that connects GPU computing power supply and demand. It enables individuals with idle GPUs to contribute their resources and earn rewards, while offering developers and AI teams a scalable platform for running containerized workloads. Users can select the most suitable infrastructure for their computing tasks, whether it be powerful cloud GPUs for large AI model training or community-operated gaming machines for parallelizable workloads. This market-driven approach promotes fair pricing, allowing node operators to set their rental rates while users can choose nodes based on their performance needs and budget constraints. Currently, Theta EdgeCloud supports a range of academic and enterprise clients, including prestigious universities and major sports teams. The platform's beta release includes features such as persistent storage for AI model training and improved job prioritization, responding to customer requests. With over 80 PetaFLOPS of distributed GPU compute power, the hybrid architecture supports various applications, including AI model training, video encoding, and financial simulations. By leveraging unused GPU power from community members, Theta Labs aims to democratize access to high-performance computing, enabling organizations to conduct more experiments and advance their AI research without financial limitations.