Home Page
White Paper
StarNet
AI Power of the Crowd Share and Be Shared
Powering the Future: Harnessing the AI Era's 'Oil' - Computational Power!
White Paper
Android Download
Milestone
In the Era of Artificial Intelligence, Computing Power is the Oil
May 30, 2023, Nvidia's market value surpassed one trillion US dollars, becoming the world's highest-valued chip company, twice the value of TSMC. It is also the fifth technology giant to enter the trillion-dollar club following Apple, Microsoft, Google, and Amazon. Nvidia has now become the biggest winner in the AI era, as global chip giants have taken control over the 'new generation oil.' Just six months ago, its market value was only 270 billion US dollars, which increased by 2.5 times in just over six months due to the artificial intelligence boom. The global surge of ChatGPT owes much to Nvidia, which initially provided 10,000 A100 GPU chips for its core hardware. Just as smartphones need Qualcomm and MediaTek chips, AI large models require Nvidia chips. The core elements of AI large models are computing power, algorithms, and parameters. If algorithms and parameters reflect a company's technical level, then computing power depends on the number of chips used. Currently, Nvidia dominates the AI chip market, holding over 60% of the market share. With every major player now developing AI, Nvidia's orders are more than they can supply. The price of A100 chips has soared by 40%, with orders backed up until December. Nvidia is currently the biggest winner in the AI era. Due to U.S. restrictions, it is difficult for many countries, companies, and individuals around the world to purchase chips like the A100 and H100.
The Importance of Computing Power
The Importance of
Computing Power
Computing power plays a very important role in the era of artificial intelligence and can be seen as the energy source of artificial intelligence. This is because artificial intelligence algorithms require a large amount of computational resources for training and inference, especially in fields such as deep learning, where the investment in computational resources directly affects the performance and accuracy of the models
Therefore, the competition for computing power has become an important aspect in the field of artificial intelligence. Major technology companies are actively investing in powerful computing infrastructures and algorithm research to gain stronger computing capabilities, thereby maintaining a competitive edge
Beyond the intrinsic value of computing power itself, investment in computing power also helps to propel the development of the entire artificial intelligence ecosystem. Strong computational capabilities can accelerate the training and inference of models, allowing more data to be utilized, further driving the innovation and development of algorithms.
Technology Framework
Decentralized Architecture
The AI computing power oil field adopts a decentralized approach, where each user can provide computing power through their own mobile devices, without relying on centralized institutions. This decentralized method can enhance the enthusiasm of computing power providers and ensure the fairness of resource allocation
Blockchain Technology
The AI computing power oil field employs blockchain technology to ensure the platform's security and privacy. Blockchain technology can secure the safety and privacy of data, while also facilitating decentralized transactions and settlements, thereby enhancing the platform's efficiency and quality
Computing Power Sharing Platform
The AI computing power oil field has established a computing power sharing platform, where users can freely provide and obtain computing power on the platform without relying on centralized institutions. The computing power sharing platform enhances both the efficiency and flexibility of computing power utilization
Smart Contract
Computing power plays a very important role in the era of artificial intelligence and can be seen as the energy source of artificial intelligence. This is because artificial intelligence algorithms require a large amount of computational resources for training and inference, especially in fields such as deep learning, where the investment in computational resources directly affects the performance and accuracy of the models
Roadmap-2024
January 1st, 2024
Launch of the Starcoin Computing Power Oil Field Project
January 1st, 2024
Launch of the Starcoin Computing Power Oil Field Project
Q1 2024
Achievement of the Star Computing Power Model 1.0
Q1 2024
Achievement of the Star Computing Power Model 1.0
Q1 to Q3 2024
Launch of the Star Test Mainnet
Q1 to Q3 2024
Launch of the Star Test Mainnet
Q4 2024
Launch of the Star Computing Power Application Store: Star Store
Q4 2024
Launch of the Star Computing Power Application Store: Star Store
Roadmap-2024
January 1st, 2024
Launch of the Starcoin Computing Power Oil Field Project
Q1 2024
Achievement of the Star Computing Power Model 1.0
Q1 to Q3 2024
Launch of the Star Test Mainnet
Q4 2024
Launch of the Star Computing Power Application Store: Star Store
Partners