CloudGPU cGPU
Xếp hạng #7577
05:19:00 22/11/2024
Giá CloudGPU (cGPU)
$0.001981 -2.75%
0.00000002021 BTC
51 VND
Thấp: $0.001981
Cao: $0.002037
Thông tin CloudGPU (cGPU)
| Trạng thái | Đang hoạt động |
| Website | |
| Sách trắng | |
| Block Explorer | https://etherscan.io/address/0x49d1372124f9b018f32f13b81de6f4c83d89fcc3 |
| Chat | |
| Nền tảng | |
| Ngày thêm vào danh sách | 15:11:15 18/10/2024 |
Số liệu thống kê CloudGPU (cGPU)
| Giá CloudGPU (cGPU) hôm nay | |
|---|---|
| Giá CloudGPU (cGPU) | $0.001981 |
| Dao động 1 giờ | 0% |
| Dao động 24 giờ | -2.75% |
| Dao động 7 ngày | -18.09% |
| Giá Thấp / Cao nhất (24h) | $0.001981 / $0.002037 |
| Khối lượng giao dịch 24 giờ | $143.36 |
| Vốn hóa | - |
| Xếp hạng | #7577 |
| Giá CloudGPU (cGPU) hôm qua | |
| Giá Thấp / Cao nhất hôm qua | $0.002037 / $0.002046 |
| Giá Mở / Đóng hôm qua | $0.002046 / $0.002037 |
| Dao động giá hôm qua | -0.45% |
| Khối lượng giao dịch hôm qua | $57.46 |
| Nguồn cung CloudGPU (cGPU) | |
| Tổng cGPU đang lưu hành | |
| Tổng cung | 21,000,000 cGPU |
| Tổng cung tối đa | 21,000,000 cGPU |
| Lịch sử giá CloudGPU (cGPU) | |
| Giá Thấp / Cao 7 ngày | $0.001981 / $0.002419 |
| Giá Thấp / Cao 30 ngày | $0.001981 / $0.01728 |
| Giá Thấp / Cao 90 ngày | $0.001981 / $0.05173 |
| Giá Thấp / Cao 52 tuần | $0.001981 / $0.05173 |
| Giá cao nhất lịch sử 18:24:00 19/10/2024 |
$0.05173 |
| Giá thấp nhất lịch sử 09:31:00 21/11/2024 |
$0.001981 |
At its core, cGPU aims to democratize access to powerful GPU resources, breaking down the financial and technical barriers that have traditionally limited such access to large corporations and institutions. By leveraging blockchain technology and decentralized architecture, cGPU enables individuals, startups, researchers, and organizations of all sizes to harness the power of high-performance computing without the need for significant capital investment.
The platform's user-friendly interface simplifies the process of renting and utilizing GPU resources. Users can easily select from a range of available GPUs, matching their specific computational needs with appropriate hardware specifications. The one-click deployment feature and pre-configured templates for popular frameworks like PyTorch and TensorFlow significantly reduce the technical complexity, allowing users to focus on their core tasks rather than infrastructure setup.
For GPU providers, cGPU offers a unique opportunity to monetize idle or underutilized hardware. By joining the cGPU network, individuals and organizations with spare GPU capacity can earn revenue by renting out their resources to a global user base. This not only maximizes the efficiency of existing hardware but also contributes to a more sustainable computing ecosystem by reducing the need for redundant infrastructure.
A key component of the cGPU ecosystem is its native token, which plays a crucial role in facilitating transactions, incentivizing participation, and governing the network. The project's tokenomics are designed to ensure long-term sustainability and growth, with a fixed supply of tokens and carefully structured allocation for various purposes including development, marketing, and community incentives.
Looking ahead, cGPU's ambitious roadmap includes several groundbreaking developments. Chief among these is the transition to a proprietary Layer 1 (L1) blockchain, custom-built to optimize GPU resource management and transaction efficiency. This move will not only enhance the platform's scalability and performance but also eliminate transaction taxes, further reducing costs for users.
The development of a comprehensive Software Development Kit (SDK) is another priority, aimed at streamlining the process of integrating GPUs into the network. This will significantly enhance the platform's ability to onboard new providers and scale its operations rapidly.
cGPU also plans to implement an advanced staking mechanism, allowing token holders to earn ETH rewards. This innovative approach, funded by the platform's rental earnings, aligns the interests of token holders with the overall success of the ecosystem.
Intelligent task distribution is another key feature on the horizon. By leveraging machine learning algorithms, cGPU will optimize resource allocation, ensuring that computational tasks are matched with the most suitable GPU resources for maximum efficiency and performance.
As the project evolves, cGPU is committed to expanding its reach through strategic partnerships with hardware manufacturers, software developers, research institutions, and enterprises across various industries. These collaborations will not only drive adoption but also contribute to the continuous improvement and innovation of the platform.
In essence, cGPU represents a paradigm shift in the world of high-performance computing. By creating a decentralized, accessible, and efficient marketplace for GPU resources, it empowers a new generation of innovators, researchers, and businesses to push the boundaries of what's possible in fields like AI, scientific research, and data analysis. As it continues to grow and evolve, cGPU is poised to play a pivotal role in shaping the future of decentralized computing.