Edge

Network3: Revolutionizing Edge AI Infrastructure On November 26, CZ(Binance founder) tweeted, 'I am not against memes, but meme coins are getting 'a little' weird now. Let's build real applications using blockchain.' The market's obsession with meme coins has overshadowed utility-driven blockchain projects like Network3, a decentralized Edge AI infrastructure project poised for significant growth. Network3 integrates blockchain tokenomics, decentralized physical infrastructure networks (DePIN), federated learning, and Edge AI to challenge big tech's AI monopoly. With over 543,010 nodes across 185 countries, Network3's decentralized federated learning framework ensures privacy and data security while incentivizing node participation. The project's rapid growth, surpassing Helium in node count, signifies its potential to democratize computing power and data. Market Potential and Tokenomics The DePIN and Edge AI combination presents a trillion-dollar opportunity. DePIN incentivizes users to contribute physical resources, projecting a market size of $3.5 trillion by 2028. Currently undervalued at $1.33 billion, the DePIN sector is poised for exponential growth. Edge AI, with a projected market size of $269.82 billion by 2032, excels in data privacy and efficiency, attracting tech giants like NVIDIA and Google. Network3's tokenomics model, with a total token supply of 1 billion, ensures sustainable mining rewards through staking and mining. Investing in Network3 Investing in Network3 offers a gateway to the future of AI infrastructure, combining DePIN's physical world integration and Edge AI's decentralized computing power. With a clear economic model and exponential market potential, Network3 stands out as a pioneer in revolutionizing the AI sector.

Decentralized Dashcam for Tesla Vehicles Modern cars are now considered advanced computers on wheels, equipped with sophisticated camera systems that provide a 360° view of their surroundings. These systems are crucial for navigation, safety, and the development of autonomous driving technology. However, the full potential of these camera systems is often underutilized. NATIX Network has introduced VX360, a decentralized physical infrastructure network (DePIN) gadget designed to enhance the capabilities of Tesla's existing camera system. VX360 transforms the camera setup into a 360° dashcam that not only improves safety for autonomous vehicles but also offers opportunities for real-time mapping, property appraisal, insurance assessments, and more. This innovative device aims to capture unpredictable real-world driving scenarios, known as 'edge cases,' to better train autonomous vehicle AI.

375ai Revolutionizing Data Processing at the Edge As the world becomes increasingly interconnected through millions of smart devices, the demand for rapid data processing at the edge—right where the data is generated—is greater than ever. Edge AI enables intelligence where data is generated, on highways, bustling streets, in hospitals, and retail stores. It operates at the network's edge, making sense of the unstructured, real-time data that represents our world. 375ai has been at the forefront of Edge AI innovation, leveraging cutting edge proprietary hardware and strategic partnerships to pioneer the world’s first decentralized edge data intelligence network. After years of development, we’re thrilled to announce the launch of the 375go Discovery Testnet. Why Edge AI and Why Now? Edge AI deploys artificial intelligence on devices throughout the physical world, bypassing the need for centralized cloud processing. Recent advancements in AI, Internet of Things (IoT) devices, and computing infrastructure make edge AI not just possible but essential. The benefits include: Real-time Decision-Making, Increased Privacy, Reduced Costs, Adaptability, and Resilience. The explosive growth of IoT devices has resulted in a deluge of data—from a wide variety of sensors to mobile phones and traffic cameras. Instead of sending all this data back to centralized servers for analysis, edge AI makes it possible to process and act on that data locally. This results in lower costs, faster response times, enhanced privacy, and even autonomy in the absence of internet connectivity.

The landscape of artificial intelligence (AI) is undergoing a significant transformation with the emergence of Decentralized EdgeAI, which aims to democratize access to AI technologies. Currently, a handful of major tech companies, including OpenAI, IBM, Amazon, and Google, dominate the AI infrastructure layer, creating barriers for smaller entities and limiting access for millions of users and enterprises worldwide. This centralized control not only raises costs but also restricts innovation. Decentralized EdgeAI, exemplified by initiatives like Network3, seeks to address these challenges by integrating Decentralized Physical Infrastructure (DePIN) and EdgeAI, allowing AI systems to run on various devices while ensuring privacy and community involvement. One of the critical advantages of EdgeAI is its ability to reduce reliance on large data centers owned by tech giants. Traditional AI models, particularly large language models (LLMs) such as GPT-3, require substantial resources for training, often costing between $500,000 to $4.6 million. This financial barrier further entrenches the monopoly of Big Tech. In contrast, EdgeAI enables developers to train and deploy models on smaller devices, from smartphones to IoT appliances, broadening accessibility and fostering innovation. However, for EdgeAI to reach its full potential, devices must be able to communicate and share resources effectively, overcoming limitations in computation and storage. Network3's innovative Decentralized Federated Learning framework represents a significant leap forward in collaborative AI training. By allowing multiple devices or 'nodes' to pool their resources, this framework enhances the efficiency and growth of AI systems. The integration of strong encryption methods, such as Anonymous Certificateless Signcryption (CLSC), ensures secure data sharing while maintaining privacy. Furthermore, the use of Reed-Solomon coding optimizes data accuracy. As a result, Edge devices within the Network3 ecosystem can perform local analyses, leading to low latency and real-time responses. This decentralized approach not only mitigates the centralized monopoly but also opens up new revenue streams for developers and users, ultimately making AI more accessible and beneficial for all.

On November 26, Binance founder Zhao Changpeng expressed his views on meme coins, stating that while he does not oppose them, the focus on such coins has overshadowed promising blockchain projects. This sentiment highlights the potential of projects like Network3, a decentralized edge AI infrastructure that aims to disrupt the AI landscape dominated by large tech firms. By integrating blockchain technology with decentralized physical infrastructure networks (DePIN) and federated learning, Network3 provides a collaborative framework for AI developers while ensuring data privacy and security. The project has seen remarkable growth, with over 100,000 new nodes added recently, bringing its total to over 507,261 across 188 countries, positioning it as a significant player in the DePIN sector. The market outlook for Network3 is promising, particularly as the DePIN and Edge AI sectors are poised for substantial growth. According to reports, the DePIN market could reach approximately $2.2 trillion by 2024 and $3.5 trillion by 2028, while the Edge AI market is expected to grow from $27.01 billion in 2024 to $269.82 billion by 2032. Despite the current market capitalization of the DePIN sector being only $1.33 billion, the potential for rapid growth is evident as more developers and enterprises engage with this technology. Network3's unique combination of DePIN and Edge AI not only enhances data privacy and efficiency but also opens new avenues for investment and application. In terms of token economics, Network3 has a clear model with a total supply of 1 billion tokens, 75% of which is allocated to community incentives through mining and AI model training. The project has successfully secured $5.5 million in funding from notable investors, which will support its technological advancements and global expansion. As the Token Generation Event (TGE) and airdrop approach, Network3 is set to enter a new growth phase, making it an attractive opportunity for long-term investors. With its innovative approach and strong market positioning, Network3 is well-positioned to become a key player in the decentralized AI and DePIN landscape.

Aethir is making significant strides in the blockchain space by integrating LayerZero to enhance its capabilities as a multichain AI and gaming ecosystem. This integration aims to bring the omnichain vision closer to reality, allowing for seamless interactions across different blockchain networks. Aethir’s native token, $ATH, will be available for testing on ZKSync, as announced on the platform's official X account. The integration with LayerZero will facilitate cross-chain operations, enabling users to move $ATH tokens effortlessly between various chains, thereby expanding the utility of the token within the ecosystem. The Aethir platform is built on a robust decentralized cloud infrastructure that supports AI and gaming applications. With over 43,000 high-quality GPUs, including more than 3,000 NVIDIA H100s, Aethir is well-equipped to handle complex AI computations. The network also features over 32,000 globally distributed Aethir Edge devices, enhancing its computational capabilities. The $ATH token plays a crucial role in this ecosystem, allowing stakeholders such as Aethir Checker Nodes, Edge device operators, and cloud hosts to participate in the network's growth and functionality. The collaboration with LayerZero will enable Aethir to transition to the Sophon ZK chain, enhancing its multichain capabilities and facilitating the execution of smart contracts across different blockchains. To further bolster its GPU cloud infrastructure, Aethir is also integrating Stargate’s omnichain liquidity protocol, which will simplify the exchange of $ATH tokens. This integration will provide access to unified liquidity pools, instant finality, and various staking and farming options. These advancements are designed to propel Aethir into a multichain future, ensuring that AI and gaming workloads can be accessed directly across multiple blockchain networks. As Aethir continues to innovate, it is set to play a pivotal role in the evolution of decentralized cloud solutions for the AI and gaming sectors.