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Post: February 27, 2025 1:34 AM Update: February 27, 2025 1:34 am
Edit and fact confirmation: February 27, 2025 at 1:34 am
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Fluence is a decentralized blockchain drive model that improves expansion, reduces costs, and supports AI and Web3 applications.
In the recent hacking season conference, Evgeny Ponymarev, co -founder of Fluence, shared the tasks that interfere with the future of distributed cloud computing and extensive adoption. By converting the DEPIN pledge to the Web3 and Blockchain Enterprises into a distributed infrastructure, PONOMAREV has identified one major disorder, the imperfection of depin.
Distributed physical infrastructure networks give tremendous value, but many implementations do not provide the same pleasant user experience as liquor Web2 applications. In order to compete with traditional cloud providers, distributed solutions must provide simplicity of use, as well as improved security and autonomy. Fluence aims to provide a distributed cloud computing platform that can reduce costs, improve scalability, and eliminate dependence on centralized entities to compete with existing systems.
Cloudless model of fluence: Uber for computing?
FLUENCE promotes a decentralized alternative to standard cloud services, along with a distributed market for computing resources. Evgeny compared this technology with Uber but compared it with cloud computing. Fluence is a professional hardware manufacturer that can sell computing resources through a blockchain drive system instead of relying on a huge data center controlled by large companies.
This distributed paradigm has many advantages, including a reliable system that reduces costs through token incentives, expands infrastructure for expanding digital services, and an unreliable system that eliminates the risk of locker locks. In particular, as power demand increases due to the growth of AI and digital applications, the Cloudless Architecture of Fluence provides economically realized and expandable alternatives to centralized cloud providers such as AWS, Google Cloud and Microsoft Azure.
Distributed computing for AI growth
The AI Workroad increases at unprecedented speeds, which affects traditional computing infrastructure. Evgeny divided AI computing into four major categories: training, fine adjustment, reasoning and AI agent. Large AI training is still difficult because it relies on a huge GPU cluster owned by business, but some AI workrods can be distributed already.
Fluence is now operating a CPU -based infrastructure network and is in the process of adding GPUs. Once access, these resources can be used to provide AI micro -adjustment and reasoning, providing an alternative to centralized AI processing. The AI Agent, which operates as a digital bot that interacts with the model, is now installed on the network of Fluence, allowing developers to run the AI drive app in a distributed environment.
Distributed application of new generation
Fluence not only replaces existing cloud computing, but also opens a way for next -generation diversification apps. Many blockchain -based applications continue to rely on centralized cloud providers, which lead to dependencies that ignore the main principles of Web3. Fluence tries to change this by allowing distributed hosting of blockchain nodes, AI applications and other digital services.
Self -sufficient AI Agents represent especially interesting applications. Evgeny imagined the future where these agents dominate their executions, depend on cryptocurrency payments, fund funds, and move between various distributed suppliers. This represents a transition to a completely autonomous digital entity that can evolve and function without human intervention or centralized control.
Full diversification is still in progress, but the development of token -based computing, distributed AI and self -maintenance digital applications indicates that this future is rapidly coming. Fluence proves that a world that does not depend on the central cloud giants is not only possible, but it is inevitable.
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About the author
Victoria is a writer about various technical topics, including Web3.0, AI and Cryptocurrencies. Through her extensive experience, she can write insightful articles for more audience.
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Victoria D ‘E is
Victoria is a writer about various technical topics, including Web3.0, AI and Cryptocurrencies. Through her extensive experience, she can write insightful articles for more audience.