DePIN
Ai
NeurO
NeurO leader in Decentralized Artificial Intelligence Infrastructure (AI DePIN)
NeurO is a decentralized high-performance GPU computing network that can scale infinitely. Its goal is to become the most widely used GPU computing infrastructure in the AI+Web3 era worldwide. Established in 2023, NeurO-Foundation and Com2000 USA jointly promote the development of NeurO AI .
NeurO AI DePIN
NeurO AI DePIN
NeurO OverviewWelcome to Neuro, where we are pioneering the future of cloud computing through the power of decentralization.
In a world increasingly reliant on digital infrastructure, the demand for accessible, reliable, and secure computing resources has never been higher. Neuro is our answer to this growing need, offering a groundbreaking platform that democratizes access to advanced cloud computing for everyone, everywhere.
DePIN Market Overview In the rapidly evolving digital technology landscape, the demand for high-performance computing resources is soaring. Neuro emerges as a pivotal player in this dynamic field of Decentralized Physical Infrastructure Networks (DePIN), offering a decentralized GPU-as-a-service (GPUaaS) platform that caters to demanding sectors such as AI, cloud gaming, and virtualized computing. DePIN represents a transformative approach to constructing and scaling infrastructure networks, combining physical and digital elements to foster a more open, decentralized and transparent infrastructure across various sectors.
In 2023, the DePIN sector experienced explosive growth, with over 755 projects and a market capitalization surpassing $32 billion. This surge underscores the robust demand and investor confidence in decentralized infrastructure. The generalized-compute structures within the DePIN sector have shown increasing demand for their services, achieving utilization rates between 40-70% over the past year and generating $27.5 million in annual revenue.
The growth of the GPU-compute sector extends beyond DePIN. The demand for processing power, driven by fields such as Artificial Intelligence (AI), telecommunications, and cloud gaming, is outpacing supply. This has sparked a global race for GPU resources, led by major players like Meta, OpenAI, and Alibaba, focusing on high-performance GPUs like Nvidia's H100.
The North American GPU cloud market, a leader in this trend, is expected to rise rapidly from $3.2 billion in 2023 to $25.5 billion by 2030, with a Compound Annual Growth Rate (CAGR) of 34.8%. This trend highlights the growing necessity for robust and scalable GPU resources, positioning Neuro at the forefront of meeting these demands through its innovative DePIN-based infrastructure and strategic market positioning.
Neuro is planning to focus in AI DePIN, with plans to operate DePIN with Partners in GPU rendering equipment covering 20 data center locations in over 10 countries across Asia, Europe, and the Americas. This infrastructure positions Neuro as a marketplace for aggregating GPU resources from enterprises, data centers, miners, and retail GPU providers, making these resources accessible to a broad audience.
Neuro stands at the forefront of technological innovation, leveraging blockchain technology to provide decentralized GPU-enabled Virtual Private Servers (VPS) and containerized nodes. Our platform is designed to cater to a wide array of computing needs, from developers looking to deploy applications at scale, to businesses in need of reliable and secure cloud services, all the way to individuals seeking to explore the potentials of cloud computing without prohibitive costs or complex setups.
The need for Decentralized Physical Infrastructure DePIN.
The traditional cloud computing market is dominated by a few key players, leading to concerns over centralization, privacy, and the potential for service disruptions. Furthermore, the technical and financial barriers to accessing high-performance computing resources have stifled innovation and limited the accessibility of cloud technologies to a broader audience. By decentralizing VPS services and offering containerized nodes, NeuroNet introduces a new paradigm where users have more control over their computing resources, enhanced security, and the ability to leverage cloud computing in an entirely new and accessible way.
Vision and Mission of NeuroNetOur vision is a world where the power of cloud computing is accessible to all, fostering innovation, enhancing security, and empowering users with full control over their digital environment.
The mission of NeuroNet is to break down the barriers that have traditionally kept advanced computing resources out of reach for many, by building a decentralized platform that is secure, easy to use, and affordable.We are committed to creating a future where the benefits of cloud computing, including scalability, efficiency, and flexibility, can be leveraged by anyone, anywhere, without the need for significant technical expertise or financial investment.
Disclaimer: Any information contained in this document is subject to change and should not be interpreted as investment advice or solicitation to purchase services or products offered by VPS or affiliates.
In a world increasingly reliant on digital infrastructure, the demand for accessible, reliable, and secure computing resources has never been higher. Neuro is our answer to this growing need, offering a groundbreaking platform that democratizes access to advanced cloud computing for everyone, everywhere.
DePIN Market Overview In the rapidly evolving digital technology landscape, the demand for high-performance computing resources is soaring. Neuro emerges as a pivotal player in this dynamic field of Decentralized Physical Infrastructure Networks (DePIN), offering a decentralized GPU-as-a-service (GPUaaS) platform that caters to demanding sectors such as AI, cloud gaming, and virtualized computing. DePIN represents a transformative approach to constructing and scaling infrastructure networks, combining physical and digital elements to foster a more open, decentralized and transparent infrastructure across various sectors.
In 2023, the DePIN sector experienced explosive growth, with over 755 projects and a market capitalization surpassing $32 billion. This surge underscores the robust demand and investor confidence in decentralized infrastructure. The generalized-compute structures within the DePIN sector have shown increasing demand for their services, achieving utilization rates between 40-70% over the past year and generating $27.5 million in annual revenue.
The growth of the GPU-compute sector extends beyond DePIN. The demand for processing power, driven by fields such as Artificial Intelligence (AI), telecommunications, and cloud gaming, is outpacing supply. This has sparked a global race for GPU resources, led by major players like Meta, OpenAI, and Alibaba, focusing on high-performance GPUs like Nvidia's H100.
The North American GPU cloud market, a leader in this trend, is expected to rise rapidly from $3.2 billion in 2023 to $25.5 billion by 2030, with a Compound Annual Growth Rate (CAGR) of 34.8%. This trend highlights the growing necessity for robust and scalable GPU resources, positioning Neuro at the forefront of meeting these demands through its innovative DePIN-based infrastructure and strategic market positioning.
Neuro is planning to focus in AI DePIN, with plans to operate DePIN with Partners in GPU rendering equipment covering 20 data center locations in over 10 countries across Asia, Europe, and the Americas. This infrastructure positions Neuro as a marketplace for aggregating GPU resources from enterprises, data centers, miners, and retail GPU providers, making these resources accessible to a broad audience.
Neuro stands at the forefront of technological innovation, leveraging blockchain technology to provide decentralized GPU-enabled Virtual Private Servers (VPS) and containerized nodes. Our platform is designed to cater to a wide array of computing needs, from developers looking to deploy applications at scale, to businesses in need of reliable and secure cloud services, all the way to individuals seeking to explore the potentials of cloud computing without prohibitive costs or complex setups.
The need for Decentralized Physical Infrastructure DePIN.
The traditional cloud computing market is dominated by a few key players, leading to concerns over centralization, privacy, and the potential for service disruptions. Furthermore, the technical and financial barriers to accessing high-performance computing resources have stifled innovation and limited the accessibility of cloud technologies to a broader audience. By decentralizing VPS services and offering containerized nodes, NeuroNet introduces a new paradigm where users have more control over their computing resources, enhanced security, and the ability to leverage cloud computing in an entirely new and accessible way.
Vision and Mission of NeuroNetOur vision is a world where the power of cloud computing is accessible to all, fostering innovation, enhancing security, and empowering users with full control over their digital environment.
The mission of NeuroNet is to break down the barriers that have traditionally kept advanced computing resources out of reach for many, by building a decentralized platform that is secure, easy to use, and affordable.We are committed to creating a future where the benefits of cloud computing, including scalability, efficiency, and flexibility, can be leveraged by anyone, anywhere, without the need for significant technical expertise or financial investment.
Disclaimer: Any information contained in this document is subject to change and should not be interpreted as investment advice or solicitation to purchase services or products offered by VPS or affiliates.
NeurO TeamBrief introductions to the key members of Neuro AI DePIN team:
NeuroNet is driven by a dedicated team of experts, each bringing a wealth of experience and a shared vision for revolutionizing cloud computing through decentralization. Our leadership team is composed of industry veterans in AI technology, blockchain, and cloud computing, all committed to delivering a platform that empowers users across the globe.
NeuroNet team is more than just a group of individuals; it's a collective with a shared commitment to changing the world through decentralized technology. Their combined expertise and experience are not only driving the platform forward but are also shaping the future of decentralized computing. With a strong foundation in both technology and vision, the NeuroNet team is poised to make a significant impact on the cloud computing landscape.
Dan, CEOWith a background in tech entrepreneurship and business development, Dan has led multiple successful ventures at the intersection of technology and finance. His expertise in blockchain technology and passion for decentralization are the driving forces behind Neuro AI's mission. Dan envisions a future where cloud computing is accessible, secure, and fair for all, free from the constraints of centralized control.
Victor, CTOVictor is a seasoned AI deep learning software engineer and architect with over two decades of experience in developing scalable, high-performance computing solutions. His deep understanding of AI deep learning, cloud infrastructure and blockchain technology has been instrumental in designing NeuroNet's robust and innovative platform. Victor's technical leadership ensures that NeuroNet stays at the forefront of technological advancements.
Eric, COOEric brings a strategic operational mindset to the NeuroNet AI team, with a track record of optimizing processes and driving efficiency in tech startups. His expertise in operational management and ability to streamline complex systems play a crucial role in NeuroNet's day-to-day operations and long-term strategic planning. Eric is passionate about creating an operational backbone that supports scalable growth and user satisfaction.
Jose, CMOJose is a marketing maven with a knack for communicating complex technical concepts in relatable terms. With experience in both the tech and blockchain sectors, Jose has crafted NeuroNet's marketing strategy to engage a broad audience, from tech enthusiasts to enterprise clients, with a vision is to build a strong, engaged community around NeuroNet, fostering collaboration and innovation.
Dave, VP of ProductAs the VP of Product, Nick oversees the development and enhancement of NeuroNet's offerings. With a background in product management within tech and cloud computing industries, Dave ensures that the platform is user-centric, feature-rich, and aligned with the needs of our diverse user base. His dedication to excellence and user experience is pivotal in realizing NeuroNet's goal of democratizing cloud computing.
Disclaimer: Any information contained in this document is subject to change and should not be interpreted as investment advice or solicitation to purchase services or products offered by VPS or affiliates.
NeuroNet is driven by a dedicated team of experts, each bringing a wealth of experience and a shared vision for revolutionizing cloud computing through decentralization. Our leadership team is composed of industry veterans in AI technology, blockchain, and cloud computing, all committed to delivering a platform that empowers users across the globe.
NeuroNet team is more than just a group of individuals; it's a collective with a shared commitment to changing the world through decentralized technology. Their combined expertise and experience are not only driving the platform forward but are also shaping the future of decentralized computing. With a strong foundation in both technology and vision, the NeuroNet team is poised to make a significant impact on the cloud computing landscape.
Dan, CEOWith a background in tech entrepreneurship and business development, Dan has led multiple successful ventures at the intersection of technology and finance. His expertise in blockchain technology and passion for decentralization are the driving forces behind Neuro AI's mission. Dan envisions a future where cloud computing is accessible, secure, and fair for all, free from the constraints of centralized control.
Victor, CTOVictor is a seasoned AI deep learning software engineer and architect with over two decades of experience in developing scalable, high-performance computing solutions. His deep understanding of AI deep learning, cloud infrastructure and blockchain technology has been instrumental in designing NeuroNet's robust and innovative platform. Victor's technical leadership ensures that NeuroNet stays at the forefront of technological advancements.
Eric, COOEric brings a strategic operational mindset to the NeuroNet AI team, with a track record of optimizing processes and driving efficiency in tech startups. His expertise in operational management and ability to streamline complex systems play a crucial role in NeuroNet's day-to-day operations and long-term strategic planning. Eric is passionate about creating an operational backbone that supports scalable growth and user satisfaction.
Jose, CMOJose is a marketing maven with a knack for communicating complex technical concepts in relatable terms. With experience in both the tech and blockchain sectors, Jose has crafted NeuroNet's marketing strategy to engage a broad audience, from tech enthusiasts to enterprise clients, with a vision is to build a strong, engaged community around NeuroNet, fostering collaboration and innovation.
Dave, VP of ProductAs the VP of Product, Nick oversees the development and enhancement of NeuroNet's offerings. With a background in product management within tech and cloud computing industries, Dave ensures that the platform is user-centric, feature-rich, and aligned with the needs of our diverse user base. His dedication to excellence and user experience is pivotal in realizing NeuroNet's goal of democratizing cloud computing.
Disclaimer: Any information contained in this document is subject to change and should not be interpreted as investment advice or solicitation to purchase services or products offered by VPS or affiliates.
NeurO
AI DePIN
NeurO
AI DePIN
NeurO Whitepaper
NeurO is a decentralized high-performance GPU computing network that can scale infinitely. Its goal is to become the most widely used GPU computing infrastructure in the AI+Web3 era worldwide. Established in 2023, NeurO-Foundation and Com2000 USA jointly promote the development of NeurO AI .The NeuroNet Blockchain and the GPU computing mainnet of NeurO is currently under development stage.https://sites.google.com/view/neuronetai/ NeuroNet Twitterhttps://Twitter.com/neuronetus Facebook FBhttps://Facebook.com/neuronetus/
DecentralizationBenefit from enhanced reliability and performance through our decentralized global network of infrastructure providers.Revenue SharingEarn revenue by holding VPS and participating in our innovative AI & Computing Marketplace.
Use Cases
Our AI DePin is built to provide AI and Machine Learning applications and advanced scientific research. We are built for complex tasks such as 3D rendering and blockchain development.
AI and Machine LearningTraining complex artificial intelligence (AI) and machine learning (ML) models, especially deep learning algorithms. These models require immense computational resources to process and learn from vast amounts of data. GPUs, with their parallel processing capabilities, can significantly reduce the time required for training and inference, thus accelerating the development and deployment of AI applications in areas such as image and speech recognition, natural language processing, and predictive analytics.
Scientific Computing and SimulationScientific computing tasks, including simulations, modeling, and analysis in fields like physics, chemistry, biology, and climate science. These applications often involve processing complex mathematical models and large datasets to simulate physical phenomena, analyze genetic sequences, or model climate changes over time. GPUs offer the parallel processing power needed to perform these calculations more efficiently than traditional CPUs, enabling more detailed simulations and faster results.
3D Rendering and Graphics ProcessingCreation of 3D content, including video games, animated films, and architectural visualizations. These applications require substantial graphical processing power to render high-quality images and animations. GPUs are specifically designed to handle these types of tasks, making them ideal for rendering workloads. They can significantly reduce rendering times, support more complex scenes, and facilitate real-time rendering and interactive design processes.
Blockchain & CryptominingBlockchains require substantial computational power for performing complex cryptographic calculations necessary for mining cryptocurrencies, such as Bitcoin and Ethereum, as well as for validating and securing transactions on the network. GPUs, with their ability to perform parallel operations, are well-suited for this task, providing the necessary horsepower to efficiently solve the cryptographic puzzles that are a fundamental aspect of blockchain technology and cryptocurrency mining. This makes GPU-enabled VMs a popular choice for individuals and organizations involved in the mining process, seeking to optimize their operations and maximize returns.
NeurO AI Application Infrastructure
GPUs have become a critical and rapidly expanding part of the global technology market. With the Al boom, the demand for high-performance GPUs has surged, significantly outpacing supply. This growth in demand for GPUs, essential for Al development and operations, has led to a notable scarcity, impacting both costs and availability. Despite the high demand, this scarcity has created challenges in procurement, affecting various sectors reliant on these technologies (e.g. Al, Gaming, loT etc). Whilst growth in the sector remains robust, the market is signalling decelerating advancements across these industries if this issue isn't addressed.
These overarching patterns have sparked considerable discussion regarding the impact of major Al advancement and the capability of the semiconductor industry. In particular, the growth rate of Large Language Model (LLM) complexity, like ChatGPT, appears to be exponential whereas GPU chipset advancements remain linear. In light of these circumstances, and not discounting the geopolitical relevance of semiconductor manufacturing, it is critical to look to alternative solutions to address the computing shortage and support the expanding growth of GPU reliant sectors like Al and gaming.
NeurO offers a disruptive, yet highly amenable solution to this complex, global issue. Our network aggregates and intelligently redistributes new and idle GPUs from enterprises, data centres, cryptocurrency mining operations and consumers. With the average US Data Centre GPU utilization rate being only 10-15%, the market opportunity to better redistribute GPU capacity is extensive. NeuroNet's solution will provide increased access to current supply, de-risk new investments, and has the capability to >10x current global GPU compute availability.
Anyone can build their own GPU cloud service platform based on NeurO .
AI Training : AI training refers to using large amounts of data and algorithms to train neural networks. The purpose of training is to obtain a model that can make predictions, namely the weights and parameters of the neural network. It is estimated that by 2024, the market size of GPU servers for AI training will reach $12 billion, with a compound annual growth rate of 25% over the next 5 years.
AI Inference : AI inference refers to using trained neural networks to analyze and predict new data. The purpose of inference is to use the trained model to infer various conclusions from new data, namely the output and results of the neural network. It is estimated that by 2024, the market size of GPU servers for AI inference will reach $8 billion, with a compound annual growth rate of 35% over the next 5 years.
Cloud Gaming: Cloud gaming services allow games to be rendered and processed through cloud-based GPU servers, and then stream the game images to players' devices. Cloud gaming allows any AAA game to run on any device. The cloud gaming market is growing rapidly, with an estimated market size of $20.93 billion by 2030, with a compound annual growth rate of 45.5%.
Visual Rendering: Visual rendering solutions are mainly applied in the fields of movies and 3D animation. The global market size was $723.7 million in 2023, and is expected to grow rapidly at a compound annual growth rate of 17.3%, reaching $3.57 billion by 2033.
Why Choose Us?Anyone can build their own GPU cloud service platform based on NeurO .
Privacy ProtectionProtect users' privacy by hiding user information through wallet addresses.
Low CostSave 70% of GPU rental costs compared to AWS.
Powerful APIOur powerful API enables seamless integration and customization, giving you flexible control over GPU rental and leasing.
Earn RewardsBuilding your own cloud GPU platform based on NeurO can apply for funding from the NeurO Council Treasury and receive support.
Open Source and License-FreeAny cloud platform can build its own GPU cloud service platform based on NeurO.Serve specific customer domains without a license.
Unlimited ScalabilityCloud platforms based on an infinitely scalable computing power network can serve large enterprise customers without worrying about GPU shortages.
NeurO is a decentralized high-performance GPU computing network that can scale infinitely. Its goal is to become the most widely used GPU computing infrastructure in the AI+Web3 era worldwide. Established in 2023, NeurO-Foundation and Com2000 USA jointly promote the development of NeurO AI .The NeuroNet Blockchain and the GPU computing mainnet of NeurO is currently under development stage.https://sites.google.com/view/neuronetai/ NeuroNet Twitterhttps://Twitter.com/neuronetus Facebook FBhttps://Facebook.com/neuronetus/
DecentralizationBenefit from enhanced reliability and performance through our decentralized global network of infrastructure providers.Revenue SharingEarn revenue by holding VPS and participating in our innovative AI & Computing Marketplace.
Use Cases
Our AI DePin is built to provide AI and Machine Learning applications and advanced scientific research. We are built for complex tasks such as 3D rendering and blockchain development.
AI and Machine LearningTraining complex artificial intelligence (AI) and machine learning (ML) models, especially deep learning algorithms. These models require immense computational resources to process and learn from vast amounts of data. GPUs, with their parallel processing capabilities, can significantly reduce the time required for training and inference, thus accelerating the development and deployment of AI applications in areas such as image and speech recognition, natural language processing, and predictive analytics.
Scientific Computing and SimulationScientific computing tasks, including simulations, modeling, and analysis in fields like physics, chemistry, biology, and climate science. These applications often involve processing complex mathematical models and large datasets to simulate physical phenomena, analyze genetic sequences, or model climate changes over time. GPUs offer the parallel processing power needed to perform these calculations more efficiently than traditional CPUs, enabling more detailed simulations and faster results.
3D Rendering and Graphics ProcessingCreation of 3D content, including video games, animated films, and architectural visualizations. These applications require substantial graphical processing power to render high-quality images and animations. GPUs are specifically designed to handle these types of tasks, making them ideal for rendering workloads. They can significantly reduce rendering times, support more complex scenes, and facilitate real-time rendering and interactive design processes.
Blockchain & CryptominingBlockchains require substantial computational power for performing complex cryptographic calculations necessary for mining cryptocurrencies, such as Bitcoin and Ethereum, as well as for validating and securing transactions on the network. GPUs, with their ability to perform parallel operations, are well-suited for this task, providing the necessary horsepower to efficiently solve the cryptographic puzzles that are a fundamental aspect of blockchain technology and cryptocurrency mining. This makes GPU-enabled VMs a popular choice for individuals and organizations involved in the mining process, seeking to optimize their operations and maximize returns.
NeurO AI Application Infrastructure
GPUs have become a critical and rapidly expanding part of the global technology market. With the Al boom, the demand for high-performance GPUs has surged, significantly outpacing supply. This growth in demand for GPUs, essential for Al development and operations, has led to a notable scarcity, impacting both costs and availability. Despite the high demand, this scarcity has created challenges in procurement, affecting various sectors reliant on these technologies (e.g. Al, Gaming, loT etc). Whilst growth in the sector remains robust, the market is signalling decelerating advancements across these industries if this issue isn't addressed.
These overarching patterns have sparked considerable discussion regarding the impact of major Al advancement and the capability of the semiconductor industry. In particular, the growth rate of Large Language Model (LLM) complexity, like ChatGPT, appears to be exponential whereas GPU chipset advancements remain linear. In light of these circumstances, and not discounting the geopolitical relevance of semiconductor manufacturing, it is critical to look to alternative solutions to address the computing shortage and support the expanding growth of GPU reliant sectors like Al and gaming.
NeurO offers a disruptive, yet highly amenable solution to this complex, global issue. Our network aggregates and intelligently redistributes new and idle GPUs from enterprises, data centres, cryptocurrency mining operations and consumers. With the average US Data Centre GPU utilization rate being only 10-15%, the market opportunity to better redistribute GPU capacity is extensive. NeuroNet's solution will provide increased access to current supply, de-risk new investments, and has the capability to >10x current global GPU compute availability.
Anyone can build their own GPU cloud service platform based on NeurO .
AI Training : AI training refers to using large amounts of data and algorithms to train neural networks. The purpose of training is to obtain a model that can make predictions, namely the weights and parameters of the neural network. It is estimated that by 2024, the market size of GPU servers for AI training will reach $12 billion, with a compound annual growth rate of 25% over the next 5 years.
AI Inference : AI inference refers to using trained neural networks to analyze and predict new data. The purpose of inference is to use the trained model to infer various conclusions from new data, namely the output and results of the neural network. It is estimated that by 2024, the market size of GPU servers for AI inference will reach $8 billion, with a compound annual growth rate of 35% over the next 5 years.
Cloud Gaming: Cloud gaming services allow games to be rendered and processed through cloud-based GPU servers, and then stream the game images to players' devices. Cloud gaming allows any AAA game to run on any device. The cloud gaming market is growing rapidly, with an estimated market size of $20.93 billion by 2030, with a compound annual growth rate of 45.5%.
Visual Rendering: Visual rendering solutions are mainly applied in the fields of movies and 3D animation. The global market size was $723.7 million in 2023, and is expected to grow rapidly at a compound annual growth rate of 17.3%, reaching $3.57 billion by 2033.
Why Choose Us?Anyone can build their own GPU cloud service platform based on NeurO .
Privacy ProtectionProtect users' privacy by hiding user information through wallet addresses.
Low CostSave 70% of GPU rental costs compared to AWS.
Powerful APIOur powerful API enables seamless integration and customization, giving you flexible control over GPU rental and leasing.
Earn RewardsBuilding your own cloud GPU platform based on NeurO can apply for funding from the NeurO Council Treasury and receive support.
Open Source and License-FreeAny cloud platform can build its own GPU cloud service platform based on NeurO.Serve specific customer domains without a license.
Unlimited ScalabilityCloud platforms based on an infinitely scalable computing power network can serve large enterprise customers without worrying about GPU shortages.
Data CentersData Centers contains the computing infrastructure that IT systems require, such as servers, data storage drives, and network equipment.Check out our NeuroNet Data Center Partners and Get Your NeuroNet Virtual Private Server Up and Running!NeuroNet Provides Multiple Cloud Based Data Centers. Check out the following links to learn how it works!
Taiko NodeTaiko is a fully permissionless, Ethereum-equivalent based rollup. Inspired, secured, and sequenced by Ethereum. Taiko is the most developer-friendly and secure Ethereum scaling solution, by Taiko Labs https://taiko.xyz
Deploy a Taiko Node using NeuroNetTo get started with NeuroNet, you'll need to connect your preferred non-custodial EMV compatible Wallet. This procedure is simple and straightforward.▪️ Connecting Your Wallet to the NeuroNet DashboardOnce You've Successfully Connected Your Wallet, If Needed, Add Credit.▪️ Adding Credit to Your NeuroNet DashboardSelect "Deploy" from the Virtual Machine menu.Configuring Your VPS Adding a VPS NameWhen setting up your Virtual Private Server VPS, it's important to give it a unique, recognizable name. This allows for easier identification and management, especially when you're dealing with multiple servers. So take a moment to think of a suitable name for your VPS. In this case, we will go with "taiko-node"
Recommended VPS Configuration for Running a Taiko NodeTo configure your Virtual Private Server (VPS) for optimal performance, you need to select the appropriate computing specifications. We recommend the following configuration for running a Taiko node: 16 GiB of memory, 4 vCPUs for processing power, and 2TB of storage space. However, if 2TB is not feasible for you, make sure you have a minimum of 1TB storage to ensure smooth operation of the Taiko node.
Deploying Taiko Node, follow the Taiko Official Guide here:https://docs.taiko.xyz/guides/node-operators/run-a-taiko-node-with-docker/
What is GPU？
GPU, short for Graphics Processing Unit, is a specialized computing unit designed for tasks related to graphics and video processing. Unlike CPUs (Central Processing Units), GPUs are designed specifically for parallel processing of large amounts of data.
High Parallel PerformanceGPUs are composed of hundreds or thousands of small cores, allowing them to process a large amount of data simultaneously. For example, when rendering 3D graphics, each core can independently process a pixel or a vertex, significantly increasing processing speed.
Graphics OptimizationOriginally designed to accelerate graphics rendering, GPUs are efficient at handling tasks related to images and videos, such as texture mapping and lighting calculations.
Wide Range of ApplicationsWhile GPUs were initially designed for gaming and professional graphics design, they are now also crucial in many other fields, especially in artificial intelligence and machine learning.Gaming and Artificial Intelligence
Why Do We Need GPUs?
The high parallel processing capability of GPUs makes them excel in handling graphics-intensive tasks and large-scale data processing tasks, making them indispensable in gaming and artificial intelligence fields.
Currently, the market value of the GPU chip leader NVIDIA exceeds $1 trillion, which is six times that of the CPU chip leader Intel, indicating a huge demand for GPUs, far exceeding that of CPUs.
GamingGames and modern gaming typically involve complex 3D graphics and physics simulations. These tasks require extensive parallel processing, making the powerful graphics processing capabilities of GPUs highly suitable. Using GPUs can achieve smoother gaming experiences and higher graphical fidelity.
Artificial Intelligence and Machine LearningIn the field of artificial intelligence, especially in deep learning, handling large amounts of data and performing complex mathematical computations are required. These computing tasks are often parallelizable, making them highly suitable for the high parallel performance of GPUs. Using GPUs can significantly accelerate the speed of model training and inference.
Taiko NodeTaiko is a fully permissionless, Ethereum-equivalent based rollup. Inspired, secured, and sequenced by Ethereum. Taiko is the most developer-friendly and secure Ethereum scaling solution, by Taiko Labs https://taiko.xyz
Deploy a Taiko Node using NeuroNetTo get started with NeuroNet, you'll need to connect your preferred non-custodial EMV compatible Wallet. This procedure is simple and straightforward.▪️ Connecting Your Wallet to the NeuroNet DashboardOnce You've Successfully Connected Your Wallet, If Needed, Add Credit.▪️ Adding Credit to Your NeuroNet DashboardSelect "Deploy" from the Virtual Machine menu.Configuring Your VPS Adding a VPS NameWhen setting up your Virtual Private Server VPS, it's important to give it a unique, recognizable name. This allows for easier identification and management, especially when you're dealing with multiple servers. So take a moment to think of a suitable name for your VPS. In this case, we will go with "taiko-node"
Recommended VPS Configuration for Running a Taiko NodeTo configure your Virtual Private Server (VPS) for optimal performance, you need to select the appropriate computing specifications. We recommend the following configuration for running a Taiko node: 16 GiB of memory, 4 vCPUs for processing power, and 2TB of storage space. However, if 2TB is not feasible for you, make sure you have a minimum of 1TB storage to ensure smooth operation of the Taiko node.
Deploying Taiko Node, follow the Taiko Official Guide here:https://docs.taiko.xyz/guides/node-operators/run-a-taiko-node-with-docker/
What is GPU？
GPU, short for Graphics Processing Unit, is a specialized computing unit designed for tasks related to graphics and video processing. Unlike CPUs (Central Processing Units), GPUs are designed specifically for parallel processing of large amounts of data.
High Parallel PerformanceGPUs are composed of hundreds or thousands of small cores, allowing them to process a large amount of data simultaneously. For example, when rendering 3D graphics, each core can independently process a pixel or a vertex, significantly increasing processing speed.
Graphics OptimizationOriginally designed to accelerate graphics rendering, GPUs are efficient at handling tasks related to images and videos, such as texture mapping and lighting calculations.
Wide Range of ApplicationsWhile GPUs were initially designed for gaming and professional graphics design, they are now also crucial in many other fields, especially in artificial intelligence and machine learning.Gaming and Artificial Intelligence
Why Do We Need GPUs?
The high parallel processing capability of GPUs makes them excel in handling graphics-intensive tasks and large-scale data processing tasks, making them indispensable in gaming and artificial intelligence fields.
Currently, the market value of the GPU chip leader NVIDIA exceeds $1 trillion, which is six times that of the CPU chip leader Intel, indicating a huge demand for GPUs, far exceeding that of CPUs.
GamingGames and modern gaming typically involve complex 3D graphics and physics simulations. These tasks require extensive parallel processing, making the powerful graphics processing capabilities of GPUs highly suitable. Using GPUs can achieve smoother gaming experiences and higher graphical fidelity.
Artificial Intelligence and Machine LearningIn the field of artificial intelligence, especially in deep learning, handling large amounts of data and performing complex mathematical computations are required. These computing tasks are often parallelizable, making them highly suitable for the high parallel performance of GPUs. Using GPUs can significantly accelerate the speed of model training and inference.
NeurO
NeurO
NeurO - leader in Decentralized Artificial Intelligence Infrastructure (AI DePIN) powered by high-performance computing HPC infrastructure. NeuroNet Whitepaper https://sites.google.com/view/neuronetai/ NeuroNet Twitterhttps://Twitter.com/neuronetus Facebook FBhttps://Facebook.com/neuronetus/
*Disclaimer: Content about NeuroNet AI on this site is for educational purposes only and not intended as investment or financial advice. Engaging in transactions involving NeuroNet AI or its associated products carries inherent risks. The value of NeuroNet AI is subject to volatility and market fluctuations, with no assured profit or return on investment. Factors such as market trends, governmental regulations, and technological advancements may influence the token's valuation. The NeuroNet AI team disclaims all liability for any potential losses incurred. Given the inherent volatility of cryptocurrency markets, we strongly advise consultation with a qualified financial advisor prior to undertaking any transactions. This notice is subject to modification without prior announcement. NeuroNet Team.
