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Heard of astraAIofficial? It's an Advanced AI powering trading algorithms, automating workflows, and delivering predictive analytics. The result? Smarter decisions and a leap into the future of trading! đ $ASTRA isnât just a tokenâitâs innovation in action. #ASTRA
Massive move for $ASTRA
It was only a matter of time before we saw a massive move for @AstraLabs_Inc
Just think, we are still yet to see which tier 1 exchange Astra will be listed on. So once we do I suspect we will see another big move.
I still believe that this project is undervalued & still has a lot more growth in the future.
Crazy to think AstraAi is still under $30M
Check them out on
Twitter: https://x.com/AstraLabs_Inc
Website: https://chatastra.ai/
It was only a matter of time before we saw a massive move for @AstraLabs_Inc
Just think, we are still yet to see which tier 1 exchange Astra will be listed on. So once we do I suspect we will see another big move.
I still believe that this project is undervalued & still has a lot more growth in the future.
Crazy to think AstraAi is still under $30M
Check them out on
Twitter: https://x.com/AstraLabs_Inc
Website: https://chatastra.ai/
OpenGPU: A Sustainable and Efficient Alternative
#ETH #ETHEREUM #OGPU
OpenGPU addresses the shortcomings of traditional methods and P2P platforms by utilizing idle GPUs through an open market strategy that prioritizes efficiency and environmental sustainability.
1. Utilizing Existing GPUs to Reduce Carbon Footprint
Maximizing Resource Use: By tapping into underutilized GPUs worldwide, OpenGPU ensures that existing hardware is used to its full potential.
Reducing E-Waste: Efficient use of current GPUs delays the need for new hardware production, decreasing electronic waste and the environmental impact associated with manufacturing.
Lowering Energy Consumption: Distributed computing allows for tasks to be processed where energy costs and carbon footprints are minimal.
2. Open Market Strategy Ensuring Efficiency
Competitive Bidding: GPU providers bid on tasks in an open market, incentivizing them to optimize for performance and energy efficiency to offer competitive rates.
Efficiency Rewards: Providers with more efficient hardware and sustainable energy practices can bid lower prices while maintaining profitability, thus winning more tasks.
Transparent Performance Metrics: OpenGPU provides visibility into provider performance, allowing developers to select providers that align with their efficiency and sustainability goals.
3. Environmental Benefits of OpenGPU
Reduced Need for New Hardware: By utilizing existing GPUs, the network lessens the demand for manufacturing new units, saving the energy and resources typically required for production.
Distributed Energy Consumption: Decentralization spreads energy usage across the globe, often leveraging regions with greener energy grids.
Promotion of Renewable Energy Use: Providers using renewable energy sources can operate at lower costs, making their bids more attractive in the open market.
#ETH #ETHEREUM #OGPU
OpenGPU addresses the shortcomings of traditional methods and P2P platforms by utilizing idle GPUs through an open market strategy that prioritizes efficiency and environmental sustainability.
1. Utilizing Existing GPUs to Reduce Carbon Footprint
Maximizing Resource Use: By tapping into underutilized GPUs worldwide, OpenGPU ensures that existing hardware is used to its full potential.
Reducing E-Waste: Efficient use of current GPUs delays the need for new hardware production, decreasing electronic waste and the environmental impact associated with manufacturing.
Lowering Energy Consumption: Distributed computing allows for tasks to be processed where energy costs and carbon footprints are minimal.
2. Open Market Strategy Ensuring Efficiency
Competitive Bidding: GPU providers bid on tasks in an open market, incentivizing them to optimize for performance and energy efficiency to offer competitive rates.
Efficiency Rewards: Providers with more efficient hardware and sustainable energy practices can bid lower prices while maintaining profitability, thus winning more tasks.
Transparent Performance Metrics: OpenGPU provides visibility into provider performance, allowing developers to select providers that align with their efficiency and sustainability goals.
3. Environmental Benefits of OpenGPU
Reduced Need for New Hardware: By utilizing existing GPUs, the network lessens the demand for manufacturing new units, saving the energy and resources typically required for production.
Distributed Energy Consumption: Decentralization spreads energy usage across the globe, often leveraging regions with greener energy grids.
Promotion of Renewable Energy Use: Providers using renewable energy sources can operate at lower costs, making their bids more attractive in the open market.
OpenGPU Academy Launch Announcement
Im thrilled to announce the launch of OpenGPU Academy, now accessible at
https://academy.opengpu.network/
#ETH #ETHEREUM #OGPU
This platform is your gateway to mastering the OpenGPU Network, offering a structured educational path.
Why This Is Beneficial:
OpenGPU Academy makes it easy to learn about the transformative technologies weâre developing. It serves as an essential resource for anyone interested in the practical and theoretical aspects of decentralized computing.
What Youâll Find:
- Comprehensive Guides and Tutorials: Starting with the OpenGPU Client, which introduces users to deploying AI models on a decentralized network.
- Interactive Learning Experiences: Engage with interactive quizzes that not only teach but will soon offer rewards, enhancing the learning journey.
- Rich Educational Content: Access detailed articles and videos covering everything from basic blockchain principles to advanced GPU computing techniques.
Future Plans:
Looking ahead, participants in the Academy will have the opportunity to earn rewards by completing quizzes and actively engaging with the content, making learning not only informative but also rewarding.
Explore OpenGPU Academy today and equip yourself with the knowledge to excel in the blockchain and AI space!
#AI #DePIN #Blockchain #ETH #OpenGPU
Im thrilled to announce the launch of OpenGPU Academy, now accessible at
https://academy.opengpu.network/
#ETH #ETHEREUM #OGPU
This platform is your gateway to mastering the OpenGPU Network, offering a structured educational path.
Why This Is Beneficial:
OpenGPU Academy makes it easy to learn about the transformative technologies weâre developing. It serves as an essential resource for anyone interested in the practical and theoretical aspects of decentralized computing.
What Youâll Find:
- Comprehensive Guides and Tutorials: Starting with the OpenGPU Client, which introduces users to deploying AI models on a decentralized network.
- Interactive Learning Experiences: Engage with interactive quizzes that not only teach but will soon offer rewards, enhancing the learning journey.
- Rich Educational Content: Access detailed articles and videos covering everything from basic blockchain principles to advanced GPU computing techniques.
Future Plans:
Looking ahead, participants in the Academy will have the opportunity to earn rewards by completing quizzes and actively engaging with the content, making learning not only informative but also rewarding.
Explore OpenGPU Academy today and equip yourself with the knowledge to excel in the blockchain and AI space!
#AI #DePIN #Blockchain #ETH #OpenGPU
The #oGPU Revolution is HERE!
#oGPU $ETH #ETHEREUM
đ Market cap exploding past $55M and the price surge to $2.71, new ATH!! $oGPU is proving its potential to hit multi-billion-dollar heights in the coming months. đ¸đ
đĽ With mainnet around the corner, exclusive NFT-holder pre-sales, and Tier 1 CEX listings in the pipeline, $oGPU is positioning itself to dominate the #GPU computing world! đťđĄ
đ Forget the old-school #GPU rental systemsâ$oGPU 's task-based architecture makes #AI and #blockchain #GPU computing seamless for developers. Plus, its snowflake-powered consensus ensures trust and efficiency like never before!
𤯠Competitors like $RNDR and $AKT? They better watch their backs. $oGPU isn't just entering the raceâit's redefining the game. đđ¨
đŻ Why wait? The bull run is heating up, and early adopters are already locking in gains. Secure your spot in the future of decentralized GPU power!
#oGPU $ETH
#oGPU $ETH #ETHEREUM
đ Market cap exploding past $55M and the price surge to $2.71, new ATH!! $oGPU is proving its potential to hit multi-billion-dollar heights in the coming months. đ¸đ
đĽ With mainnet around the corner, exclusive NFT-holder pre-sales, and Tier 1 CEX listings in the pipeline, $oGPU is positioning itself to dominate the #GPU computing world! đťđĄ
đ Forget the old-school #GPU rental systemsâ$oGPU 's task-based architecture makes #AI and #blockchain #GPU computing seamless for developers. Plus, its snowflake-powered consensus ensures trust and efficiency like never before!
𤯠Competitors like $RNDR and $AKT? They better watch their backs. $oGPU isn't just entering the raceâit's redefining the game. đđ¨
đŻ Why wait? The bull run is heating up, and early adopters are already locking in gains. Secure your spot in the future of decentralized GPU power!
#oGPU $ETH
Governance-Based Ownership of High-Tier GPUs: Introducing Decentralized Asset Crowdfunding on OpenGPU Network
#ETH #ERHEREUM #OGPU
The OpenGPU Foundation is pioneering a groundbreaking concept to democratizing access to high-tier GPUs, such as the H100 and A100, through a governance-based ownership system. This innovative model enables the collective ownership of real-world GPU assets via a decentralized, NFT-based framework, empowering individuals and tech companies to participate in AI computing without the prohibitive costs of traditional methods.
The Challenge of High-Tier GPU Acquisition
High-tier GPUs like the H100 and A100 are essential for cutting-edge AI computing tasks but come with a hefty price tag. For example, a company requiring 10 H100 GPUs could face an expenditure of approximately $300,000, a significant financial barrier for many. OpenGPU Networkâs visionary solution addresses this by enabling shared ownership of these assets, making it feasible for a broader audience to invest in and benefit from high-performance GPUs.
How It Works: Decentralized Crowdfunding and NFT Ownership
Under this system, a tech company in need of high-tier GPUs can initiate a crowdfunding campaign on the OpenGPU Network. Each GPU involved in the campaign is represented by an ERC-1155 Semi-Fungible Token (SFT), which is divided into shares. For instance, if an H100 GPU is valued at $30,000 and split into 100 shares, each share would cost $300.
#ETH #ERHEREUM #OGPU
The OpenGPU Foundation is pioneering a groundbreaking concept to democratizing access to high-tier GPUs, such as the H100 and A100, through a governance-based ownership system. This innovative model enables the collective ownership of real-world GPU assets via a decentralized, NFT-based framework, empowering individuals and tech companies to participate in AI computing without the prohibitive costs of traditional methods.
The Challenge of High-Tier GPU Acquisition
High-tier GPUs like the H100 and A100 are essential for cutting-edge AI computing tasks but come with a hefty price tag. For example, a company requiring 10 H100 GPUs could face an expenditure of approximately $300,000, a significant financial barrier for many. OpenGPU Networkâs visionary solution addresses this by enabling shared ownership of these assets, making it feasible for a broader audience to invest in and benefit from high-performance GPUs.
How It Works: Decentralized Crowdfunding and NFT Ownership
Under this system, a tech company in need of high-tier GPUs can initiate a crowdfunding campaign on the OpenGPU Network. Each GPU involved in the campaign is represented by an ERC-1155 Semi-Fungible Token (SFT), which is divided into shares. For instance, if an H100 GPU is valued at $30,000 and split into 100 shares, each share would cost $300.
OpenGPU Chain: Leading the AI Revolution with Everyday Usersâ Idle GPUs
#ETH #ETHEREUM #OGPU
Introduction
The AI revolution is upon us, driven by the exponential growth in computational demands. Nvidiaâs Jensen Huang recently highlighted the transformative potential of AI and accelerated computing. OpenGPU Chain is poised to be at the forefront of this revolution by leveraging the idle GPUs of everyday users. This approach offers a cost-effective, scalable, and efficient alternative to traditional centralized systems.
The Problem with Centralized Systems
Centralized systems, such as those provided by AWS, Google Cloud, and RNDR, require substantial capital investment and maintenance costs. These systems are not only expensive but also limited in scalability and fault tolerance. The reliance on centralized infrastructure creates single points of failure and inefficiencies in resource utilization.
#ETH #ETHEREUM #OGPU
Introduction
The AI revolution is upon us, driven by the exponential growth in computational demands. Nvidiaâs Jensen Huang recently highlighted the transformative potential of AI and accelerated computing. OpenGPU Chain is poised to be at the forefront of this revolution by leveraging the idle GPUs of everyday users. This approach offers a cost-effective, scalable, and efficient alternative to traditional centralized systems.
The Problem with Centralized Systems
Centralized systems, such as those provided by AWS, Google Cloud, and RNDR, require substantial capital investment and maintenance costs. These systems are not only expensive but also limited in scalability and fault tolerance. The reliance on centralized infrastructure creates single points of failure and inefficiencies in resource utilization.
Overview of the OpenGPU Ecosystem:
In essence, the OpenGPU Network is dedicated to decentralizing GPU computing for AI tasks by utilizing blockchain technology.
#ETH #ETHEREUM #OGPU
We organize our ecosystem around three core subsystems:
Client System: Responsible for the creation and submission of AI tasks to the network.
For a detailed look at the OpenGPU Client, check out our exclusive sneak peek video on YouTube.
Provider System: Keeps committed processing units (GPUs in particular) available to carry out the AI tasks posted on the network.
Network Orchestration System: Provides blockchain-based infrastructure and the necessary services for secure and transparent AI task distribution in conjunction with the above systems, while overseeing the overall security and transparency.
The main app of the client system has reached its initial functional form. Even in this alpha version, it provides a user-friendly interface allowing users to post their AI training tasks. Key features of the client app include:
Load Model: Upload TensorFlow models that support a wide range of algorithms.
Load Database: Share databases using public repositories like Kaggle.
Set Hyperparameters: Configure model parameters with guided defaults and recommendations.
Define Constraints: Set constraints to match GPU systems to user needs.
Review and Confirm: Confirm settings before initiating transactions on the blockchain.
This app is a pivotal tool for the OpenGPU network, ensuring users can efficiently utilize our decentralized GPU resources.
In essence, the OpenGPU Network is dedicated to decentralizing GPU computing for AI tasks by utilizing blockchain technology.
#ETH #ETHEREUM #OGPU
We organize our ecosystem around three core subsystems:
Client System: Responsible for the creation and submission of AI tasks to the network.
For a detailed look at the OpenGPU Client, check out our exclusive sneak peek video on YouTube.
Provider System: Keeps committed processing units (GPUs in particular) available to carry out the AI tasks posted on the network.
Network Orchestration System: Provides blockchain-based infrastructure and the necessary services for secure and transparent AI task distribution in conjunction with the above systems, while overseeing the overall security and transparency.
The main app of the client system has reached its initial functional form. Even in this alpha version, it provides a user-friendly interface allowing users to post their AI training tasks. Key features of the client app include:
Load Model: Upload TensorFlow models that support a wide range of algorithms.
Load Database: Share databases using public repositories like Kaggle.
Set Hyperparameters: Configure model parameters with guided defaults and recommendations.
Define Constraints: Set constraints to match GPU systems to user needs.
Review and Confirm: Confirm settings before initiating transactions on the blockchain.
This app is a pivotal tool for the OpenGPU network, ensuring users can efficiently utilize our decentralized GPU resources.
OpenGPU Chain: The Decentralized Solution
OpenGPU $ETH #ETHEREUM #ETH
introduces a decentralized approach to GPU computing, utilizing an enhanced load balancer to distribute computational tasks through its own blockchain.
This system is built on the Snowflake consensus mechanism of Avalanche, providing high fault tolerance and theoretically infinite scalability.
Key Features
Enhanced Load Balancer OpenGPU Chainâs load balancer dynamically allocates tasks across available GPUs. This ensures optimal resource utilization and minimizes latency. The load balancer can handle varying computational demands, making it suitable for AI applications that require high performance and efficiency.
Snowflake Consensus Mechanism By adopting Avalancheâs Snowflake consensus mechanism, OpenGPU Chain achieves high fault tolerance and security. This mechanism allows the network to scale without compromising on performance or reliability, making it ideal for handling large-scale AI workloads.
Dynamic Allocation The dynamic allocation of tasks ensures that the network can scale to meet increasing computational demands. Unlike traditional P2P systems used by competitors like Akash and Render (RNDR), OpenGPU Chainâs system is more efficient and adaptable to changing conditions.
Advantages Over Competitors
Efficiency and Cost-Effectiveness
OpenGPU Chain offers a significant cost advantage by utilizing idle GPUs from everyday users. This approach reduces the need for expensive centralized infrastructure, making high-performance computing accessible to smaller AI startups and researchers.
Scalability
The dynamic allocation and enhanced load balancer allow OpenGPU Chain to scale seamlessly. This scalability ensures that the network can grow to meet the demands of even the most resource-intensive AI applications.
Fault Tolerance
The Snowflake consensus mechanism provides robust fault tolerance, ensuring that the network remains operational even in the face of individual node failures. This reliability is crucial for maintaining the performance and security of AI applications.
OpenGPU $ETH #ETHEREUM #ETH
introduces a decentralized approach to GPU computing, utilizing an enhanced load balancer to distribute computational tasks through its own blockchain.
This system is built on the Snowflake consensus mechanism of Avalanche, providing high fault tolerance and theoretically infinite scalability.
Key Features
Enhanced Load Balancer OpenGPU Chainâs load balancer dynamically allocates tasks across available GPUs. This ensures optimal resource utilization and minimizes latency. The load balancer can handle varying computational demands, making it suitable for AI applications that require high performance and efficiency.
Snowflake Consensus Mechanism By adopting Avalancheâs Snowflake consensus mechanism, OpenGPU Chain achieves high fault tolerance and security. This mechanism allows the network to scale without compromising on performance or reliability, making it ideal for handling large-scale AI workloads.
Dynamic Allocation The dynamic allocation of tasks ensures that the network can scale to meet increasing computational demands. Unlike traditional P2P systems used by competitors like Akash and Render (RNDR), OpenGPU Chainâs system is more efficient and adaptable to changing conditions.
Advantages Over Competitors
Efficiency and Cost-Effectiveness
OpenGPU Chain offers a significant cost advantage by utilizing idle GPUs from everyday users. This approach reduces the need for expensive centralized infrastructure, making high-performance computing accessible to smaller AI startups and researchers.
Scalability
The dynamic allocation and enhanced load balancer allow OpenGPU Chain to scale seamlessly. This scalability ensures that the network can grow to meet the demands of even the most resource-intensive AI applications.
Fault Tolerance
The Snowflake consensus mechanism provides robust fault tolerance, ensuring that the network remains operational even in the face of individual node failures. This reliability is crucial for maintaining the performance and security of AI applications.
Governance-Based Ownership of High-Tier GPUs: Introducing Decentralized Asset Crowdfunding on OpenGPU Network
The OpenGPU Foundation is pioneering a groundbreaking concept to democratizing access to high-tier GPUs, such as the H100 and A100, through a governance-based ownership system. This innovative model enables the collective ownership of real-world GPU assets via a decentralized, NFT-based framework, empowering individuals and tech companies to participate in AI computing without the prohibitive costs of traditional methods.
The Challenge of High-Tier GPU Acquisition
High-tier GPUs like the H100 and A100 are essential for cutting-edge AI computing tasks but come with a hefty price tag. For example, a company requiring 10 H100 GPUs could face an expenditure of approximately $300,000, a significant financial barrier for many. OpenGPU Networkâs visionary solution addresses this by enabling shared ownership of these assets, making it feasible for a broader audience to invest in and benefit from high-performance GPUs.
How It Works: Decentralized Crowdfunding and NFT Ownership
Under this system, a tech company in need of high-tier GPUs can initiate a crowdfunding campaign on the OpenGPU Network. Each GPU involved in the campaign is represented by an ERC-1155 Semi-Fungible Token (SFT), which is divided into shares. For instance, if an H100 GPU is valued at $30,000 and split into 100 shares, each share would cost $300.
Investors, including those with older or less powerful GPUs, can purchase shares in these high-tier GPUs. By acquiring, for example, 10 shares of an H100 GPU, an investor contributes $3,000 and owns 10% of that GPU. Once the GPU is integrated into the OpenGPU Network, any revenue generated by the GPU is distributed among the token holders proportionately. In this example, if the GPU earns $2,000 in a month, the investor with a 10% share would receive $200.
Flexibility and Profitability for Investors
This system not only provides a steady stream of passive income for investors but also offers flexibility.
The OpenGPU Foundation is pioneering a groundbreaking concept to democratizing access to high-tier GPUs, such as the H100 and A100, through a governance-based ownership system. This innovative model enables the collective ownership of real-world GPU assets via a decentralized, NFT-based framework, empowering individuals and tech companies to participate in AI computing without the prohibitive costs of traditional methods.
The Challenge of High-Tier GPU Acquisition
High-tier GPUs like the H100 and A100 are essential for cutting-edge AI computing tasks but come with a hefty price tag. For example, a company requiring 10 H100 GPUs could face an expenditure of approximately $300,000, a significant financial barrier for many. OpenGPU Networkâs visionary solution addresses this by enabling shared ownership of these assets, making it feasible for a broader audience to invest in and benefit from high-performance GPUs.
How It Works: Decentralized Crowdfunding and NFT Ownership
Under this system, a tech company in need of high-tier GPUs can initiate a crowdfunding campaign on the OpenGPU Network. Each GPU involved in the campaign is represented by an ERC-1155 Semi-Fungible Token (SFT), which is divided into shares. For instance, if an H100 GPU is valued at $30,000 and split into 100 shares, each share would cost $300.
Investors, including those with older or less powerful GPUs, can purchase shares in these high-tier GPUs. By acquiring, for example, 10 shares of an H100 GPU, an investor contributes $3,000 and owns 10% of that GPU. Once the GPU is integrated into the OpenGPU Network, any revenue generated by the GPU is distributed among the token holders proportionately. In this example, if the GPU earns $2,000 in a month, the investor with a 10% share would receive $200.
Flexibility and Profitability for Investors
This system not only provides a steady stream of passive income for investors but also offers flexibility.
Beyond Traditional P2P Renting: The Evolution of Decentralized GPU Infrastructure
In the rapidly evolving world of technology, where computational demands are soaring, the limitations of traditional peer-to-peer (P2P) GPU renting systems have become increasingly apparent. These systems, while innovative in their time, are now being outpaced by the growing complexity and scale of modern applications. As industries like artificial intelligence (AI), machine learning, and blockchain continue to advance, there is an urgent need for a more robust, scalable, and efficient solution. This is where decentralized GPU infrastructure, particularly as embodied by the OpenGPU Network, comes into play, offering a transformative approach to GPU computing.
The Shortcomings of Traditional P2P GPU Renting
Traditional P2P GPU renting systems were initially developed as a solution to the underutilization of GPU resources. They aimed to connect individuals or companies with excess GPU capacity to those who needed additional computational power. However, these systems have several inherent flaws that limit their effectiveness in the current technological landscape:
Scalability Challenges: Traditional P2P GPU renting systems are limited by their very nature. As the network grows, the efficiency of the system often deteriorates. This is primarily due to the lack of a centralized orchestration mechanism that can efficiently allocate resources on a large scale. Without this, the network becomes fragmented, leading to inconsistent performance and bottlenecks.
Developer Burden: In traditional P2P systems, developers must adapt their code to the specific environment of the rented GPU. This process can be time-consuming and fraught with uncertainties. Developers must also monitor the execution of their code continuously, as they cannot predict how long the task will take or if the rented GPU will even be capable of completing it efficiently. This constant oversight diverts time and resources away from the actual development work.
In the rapidly evolving world of technology, where computational demands are soaring, the limitations of traditional peer-to-peer (P2P) GPU renting systems have become increasingly apparent. These systems, while innovative in their time, are now being outpaced by the growing complexity and scale of modern applications. As industries like artificial intelligence (AI), machine learning, and blockchain continue to advance, there is an urgent need for a more robust, scalable, and efficient solution. This is where decentralized GPU infrastructure, particularly as embodied by the OpenGPU Network, comes into play, offering a transformative approach to GPU computing.
The Shortcomings of Traditional P2P GPU Renting
Traditional P2P GPU renting systems were initially developed as a solution to the underutilization of GPU resources. They aimed to connect individuals or companies with excess GPU capacity to those who needed additional computational power. However, these systems have several inherent flaws that limit their effectiveness in the current technological landscape:
Scalability Challenges: Traditional P2P GPU renting systems are limited by their very nature. As the network grows, the efficiency of the system often deteriorates. This is primarily due to the lack of a centralized orchestration mechanism that can efficiently allocate resources on a large scale. Without this, the network becomes fragmented, leading to inconsistent performance and bottlenecks.
Developer Burden: In traditional P2P systems, developers must adapt their code to the specific environment of the rented GPU. This process can be time-consuming and fraught with uncertainties. Developers must also monitor the execution of their code continuously, as they cannot predict how long the task will take or if the rented GPU will even be capable of completing it efficiently. This constant oversight diverts time and resources away from the actual development work.
OpenGPU Network Achieves Tier 1 Top Secure Token Status on Certik!
I am thrilled to announce that OpenGPU Network has officially become a Tier 1 Top Secure Token on Certik with an impressive security score of 90.88! đđ
This milestone highlights the robust security architecture of our platform and reflects our commitment to delivering a safe, reliable, and decentralized GPU computing environment. Certik's recognition places us among the most secure projects in the Web3 and DePIN industries.
We extend our gratitude to the entire OpenGPU community for your continuous support as we build the future of decentralized GPU computing. Letâs keep pushing the boundaries together! đđŞ
Check out on @CertiK
skynet.certik.com
$oGPU #OpenGPU #DePIN #Web3 #Certik #Security
I am thrilled to announce that OpenGPU Network has officially become a Tier 1 Top Secure Token on Certik with an impressive security score of 90.88! đđ
This milestone highlights the robust security architecture of our platform and reflects our commitment to delivering a safe, reliable, and decentralized GPU computing environment. Certik's recognition places us among the most secure projects in the Web3 and DePIN industries.
We extend our gratitude to the entire OpenGPU community for your continuous support as we build the future of decentralized GPU computing. Letâs keep pushing the boundaries together! đđŞ
Check out on @CertiK
skynet.certik.com
$oGPU #OpenGPU #DePIN #Web3 #Certik #Security
OpenGPU Faucet Now Live for Testnet!
Join Now: Collect ToGPU Tokens
opengpu.network/faucet
Weâre excited to announce that the OpenGPU Faucet is officially live! You can now collect 10 ToGPU every hour, and if you have tokens staked in our Mainnet Pool, youâll earn double the amount!
What Can You Do with Your ToGPU Tokens?
- Participate in Events: Use your testnet coins to join our events and earn substantial rewards.
- Develop Your Product: Build and test your solutions on our testnet, with support available for a seamless mainnet transition.
- Engage with Projects: Interact with the growing ecosystem of projects being developed on the OpenGPU Network.
Together, weâll flood the testnet with transactions, paving the way for a successful Mainnet launch. The revolution is one step aheadâget ready and happy collecting!
$oGPU #OpenGPU #DePIN #AI #Faucet #Airdrop #ETH
Join Now: Collect ToGPU Tokens
opengpu.network/faucet
Weâre excited to announce that the OpenGPU Faucet is officially live! You can now collect 10 ToGPU every hour, and if you have tokens staked in our Mainnet Pool, youâll earn double the amount!
What Can You Do with Your ToGPU Tokens?
- Participate in Events: Use your testnet coins to join our events and earn substantial rewards.
- Develop Your Product: Build and test your solutions on our testnet, with support available for a seamless mainnet transition.
- Engage with Projects: Interact with the growing ecosystem of projects being developed on the OpenGPU Network.
Together, weâll flood the testnet with transactions, paving the way for a successful Mainnet launch. The revolution is one step aheadâget ready and happy collecting!
$oGPU #OpenGPU #DePIN #AI #Faucet #Airdrop #ETH
$OGPU đ
Keep you're eye on this wedge because once it breaks the move will be explosive.đĽ
If you saw my last post then you would agree thats $OGPU is almost certain to go on a huge run this bull market.đ
There's plenty of projects in the #GPU #DePin narrative but $OGPU is by far the most legit for me.
The Zealy Mainnet sprint has just been announced where you can earn $OGPU rewards for engaging with a huge $20,000 to give away.đ°
You should seriously consider adding this to your portfolio before the mainnet goes live because once is done i'm expecting price to have a big reaction.đ
This is definitely not a project to fade.
Keep you're eye on this wedge because once it breaks the move will be explosive.đĽ
If you saw my last post then you would agree thats $OGPU is almost certain to go on a huge run this bull market.đ
There's plenty of projects in the #GPU #DePin narrative but $OGPU is by far the most legit for me.
The Zealy Mainnet sprint has just been announced where you can earn $OGPU rewards for engaging with a huge $20,000 to give away.đ°
You should seriously consider adding this to your portfolio before the mainnet goes live because once is done i'm expecting price to have a big reaction.đ
This is definitely not a project to fade.
OpenGPU Provider App is on the verge of release: WHAT TO EXPECT!!
The OpenGPU Provider app is the heart of the GPU Computing layer, enabling everyday GPU users to join the global AI revolution by putting their idle GPUs to work and earning oGPU coins. As it nears its final form, internal tests show promising results in both AI training and LLM execution. OpenGPU Network is poised to democratize AI resources. The Bitcoin of GPU Computing is rising!
$oGPU #DePIN #OpenGPU #AI #Crypto #ETH
The OpenGPU Provider app is the heart of the GPU Computing layer, enabling everyday GPU users to join the global AI revolution by putting their idle GPUs to work and earning oGPU coins. As it nears its final form, internal tests show promising results in both AI training and LLM execution. OpenGPU Network is poised to democratize AI resources. The Bitcoin of GPU Computing is rising!
$oGPU #DePIN #OpenGPU #AI #Crypto #ETH