Xếp hạng #4571
20:49:00 27/08/2026
Giá Pearl (pearlresearch.ai) (PRL)
$0.2802 2.21%
0.000003503 BTC
7,229 VND
Thấp: $0.2700
Cao: $0.2934
| Vốn hóa thị trường | - | Khối lượng 24h | $14,505.20 | Lượng cung lưu hành | - |
| Thay đổi 1h | -0.88% | Thay đổi 24h | 2.21% | Thay đổi 7 ngày | 4.09% |
[Nhấn vào đây] Tặng gói Voucher 600$ tại sàn BINANCE dành cho người mới.
Thông tin Pearl (pearlresearch.ai) (PRL)
| Trạng thái | Đang hoạt động |
| Website | |
| Sách trắng | |
| Block Explorer | |
| Mã nguồn | |
| Chat | |
| Thông báo | |
| Ngày thêm vào danh sách | 17:42:05 18/08/2026 |
| Thẻ | PoW |
Số liệu thống kê Pearl (pearlresearch.ai) (PRL)
| Giá Pearl (pearlresearch.ai) (PRL) hôm nay | |
|---|---|
| Giá Pearl (pearlresearch.ai) (PRL) | $0.2802 |
| Dao động 1 giờ | -0.88% |
| Dao động 24 giờ | 2.21% |
| Dao động 7 ngày | 4.09% |
| Giá Thấp / Cao nhất (24h) | $0.2694 / $0.2849 |
| Khối lượng giao dịch 24 giờ | $14,505.20 |
| Vốn hóa | - |
| Xếp hạng | #4571 |
| Giá Pearl (pearlresearch.ai) (PRL) hôm qua | |
| Giá Thấp / Cao nhất hôm qua | $0.2694 / $0.2850 |
| Giá Mở / Đóng hôm qua | $0.2789 / $0.2734 |
| Dao động giá hôm qua | -1.99% |
| Khối lượng giao dịch hôm qua | $11,470.81 |
| Nguồn cung Pearl (pearlresearch.ai) (PRL) | |
| Tổng PRL đang lưu hành | |
| Tổng cung | 225,828,363 PRL |
| Tổng cung tối đa | 2,100,000,000 PRL |
| Lịch sử giá Pearl (pearlresearch.ai) (PRL) | |
| Giá Thấp / Cao 7 ngày | $0.2565 / $0.3398 |
| Giá Thấp / Cao 30 ngày | $0.2565 / $0.3398 |
| Giá Thấp / Cao 90 ngày | $0.2565 / $0.3398 |
| Giá Thấp / Cao 52 tuần | $0.2565 / $0.3398 |
| Giá cao nhất lịch sử 07:22:00 22/08/2026 |
$0.3398 |
| Giá thấp nhất lịch sử 16:41:00 24/08/2026 |
$0.2565 |
At the core of Pearl is a GPU-based mining model that uses deterministic matrix multiplication as part of the consensus process. Matrix multiplication is one of the most common operations in neural network training and inference, making it a natural fit for AI hardware. By basing consensus on this type of computation rather than conventional hashing algorithms, Pearl seeks to align blockchain incentives with the growing demand for AI compute while maintaining a secure and verifiable network.
Pearl is designed as a high-performance Layer-1 blockchain that supports a decentralized network of GPU operators. Participants contribute computing power to secure the blockchain and receive rewards through the protocol. The project's long-term vision is to create infrastructure where AI computation and blockchain consensus coexist, reducing computational waste associated with traditional mining while expanding access to decentralized GPU resources.
The broader Pearl ecosystem is focused on supporting AI infrastructure built on decentralized compute. The project is developing software, tooling, and network infrastructure intended to simplify participation for GPU operators while providing a foundation for AI-focused applications and services. As the ecosystem grows, Pearl aims to support developers building applications that require large-scale compute without relying exclusively on centralized cloud providers.
Security is a fundamental component of the protocol. Pearl uses cryptographic verification to validate the matrix multiplication performed by participating miners, ensuring that submitted work satisfies the network's consensus requirements before rewards are distributed. By combining verifiable computation with GPU-based consensus, the protocol explores an alternative approach to securing blockchain networks while leveraging hardware already optimized for AI workloads.
Development is research-driven and open to contributions from the broader community. Pearl encourages participation from developers, researchers, GPU operators, and infrastructure providers as the protocol continues to evolve. The project's ongoing work is centered on improving the efficiency, scalability, and security of Proof of Useful Work while expanding the capabilities of its decentralized AI infrastructure.
Overall, Pearl Research seeks to bridge blockchain technology and artificial intelligence by introducing a consensus model that replaces traditional hash-based mining with matrix multiplication. By aligning blockchain security with computation commonly used in machine learning, Pearl aims to build a decentralized network that supports both secure digital infrastructure and the increasing global demand for AI compute.