The current real-time price of FLT is $0.0123. In the past 24 hours, FLT has traded between $0.0122 and $0.0125, showing strong market activity. The all-time high of FLT is $1.52, and the all-time low is $0.0110.
From a short-term perspective, the price change of FLT over the past 1 hour is , over the past 24 hours is -0.50%, and over the past 7 days is -1.13%. These figures provide a quick overview of the latest price trends and market dynamics of FLT on LBank.-2.66%
The live price of FLT today is $0.0123, with a current market cap of $3.061M. The 24-hour trading volume is 101K. The price of FLT to USD is updated in real time.
Before deciding whether to buy or sell FLT, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s FLT technical analysis can provide you with trading references.
What will the value be? You can use our price prediction tool to conduct short-term and long-term price forecasts for FLT.
How much will FLT be worth tomorrow, next week, or next month in ? What about your FLT assets in 2025, 2026, 2027, 2028, or even 10 or 20 years from now? Check now! FLT Price Prediction
To learn more about FLT, consider exploring other resources such as the whitepaper, official website, and other published information:
Top 5 addresses | Holding amount | Holding ratio | |
|---|---|---|---|
ethereum | 0x7f62...82afac  | 359.491M | 35.95% |
ethereum | 0xcda6...685cba | 126.233M | 12.62% |
ethereum | 0x0e0a...634aac | 92.712M | 9.27% |
ethereum | 0x5e6b...bd6d3a | 62.729M | 6.27% |
ethereum | 0x2065...e17e77 | 59.143M | 5.91% |
Other | 299.689M | 29.97% |
Fluence is a decentralized physical infrastructure network (DePIN) designed for computing. It is described as "cloudless" because it operates without reliance on centralized infrastructure giants. Instead of traditional data centers controlled by a few large entities, Fluence aggregates CPU and GPU power from a global network of independent providers. This allows developers to build and run applications on a distributed, resilient infrastructure that remains independent of any single provider, ensuring greater censorship resistance and global availability.
Unlike platforms that primarily focus on leasing raw hardware, Fluence utilizes the "Aqua" protocol. Aqua is a coordination language that allows developers to compose complex distributed workflows across multiple nodes with cryptographic verifiability. This ensures that the execution of code is not only distributed but also provably correct. By focusing on coordination and verifiable execution rather than just resource allocation, Fluence provides a sophisticated framework for building truly decentralized applications and services.
Participation in the Fluence network occurs through different staking models. Direct hardware staking involves securing physical resources, such as a 64-core CPU, which requires a significant commitment of FLT tokens. For users looking for more accessible options, Fluence supports liquid staking through partners like Parasail. These platforms allow users to stake any amount of FLT to earn rewards. This tiered approach ensures that both large-scale hardware providers and individual community members can contribute to the network’s security and earn ecosystem incentives.
The "Pointless" Program is a loyalty and engagement initiative designed for the Fluence community. Users can earn points by participating in various activities, such as staking tokens, bridging assets to the Fluence network, and completing social tasks. These points serve as a metric for user contribution and often hint at future incentives or ecosystem rewards. It encourages active participation and long-term commitment from the community during the network's expansion phases.
Fluence implements "Confidential Computing" to ensure that user data remains private while being processed on public nodes. This is achieved through Trusted Execution Environments (TEEs), which are secure enclaves within a processor. TEEs ensure that the data being processed is inaccessible even to the provider running the physical hardware. By utilizing these hardware-level security features, Fluence provides a secure environment for sensitive computations, making it suitable for enterprise use cases and private AI model training where data confidentiality is mandatory.
Fluence is expanding its capabilities beyond CPU-based computing toward a decentralized GPU Mesh, with a targeted launch for the second half of 2025. Once implemented, the GPU Mesh will allow the network to onboard GPU nodes specifically for decentralized AI inference and model training. This move is designed to support the growing demand for scalable, decentralized compute power in the AI sector. By providing a platform for AI developers to access distributed GPU resources, Fluence aims to become a core infrastructure provider for future artificial intelligence applications.
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