Fluence is building an AI infrastructure that centralized clouds cannot achieve: an open, low-cost, enterprise-grade computing layer. It features sovereignty, transparency, and is open to everyone.
In 2025, the trend from 2024 continues, with cloud computing giants accelerating their race for dominance in AI infrastructure: Microsoft plans to invest over $80 billion in building data centers, Google has launched an AI supercomputer, Oracle is investing $25 billion to create the Stargate AI cluster, and AWS is also shifting its focus to native AI services.

At the same time, specialized players are growing rapidly. CoreWeave went public in March this year, raising $1.5 billion, and is now valued at over $70 billion.

As AI becomes a critical infrastructure, the right to access computing power will become one of the most important battlegrounds of this era. Centralized giants are monopolizing computing power through the vertical integration of proprietary data centers and chips, while Fluence proposes another vision: a decentralized, open, and neutral AI computing platform. Fluence will assetize computing power, using FLT as a token representing real-world assets (RWA) on-chain, to meet the exponential growth demands of AI.

Fluence has partnered with several decentralized infrastructure projects, including AI networks (Spheron, Aethir, IO.net) and storage networks (Filecoin, Arweave, Akave, IPFS), to jointly promote a neutral "compute-data" underlying infrastructure.

From 2025 to 2026, Fluence's technology roadmap focuses on the following core directions:

1. Building a Global GPU Computing Network

Fluence will introduce global GPU nodes to support the high-performance hardware required for AI tasks, injecting inference, fine-tuning, and model service capabilities into the network. This will upgrade the current CPU-based computing platform to a truly AI-oriented computing layer. The platform will integrate a containerized runtime environment to ensure the secure portability of tasks.

Additionally, Fluence will explore GPU confidential computing capabilities to ensure the secure execution of privacy-sensitive data. Through Trusted Execution Environments (TEE) and encrypted memory, sensitive business data can be processed even in a decentralized architecture, promoting the implementation of sovereign AI agents.

Key Milestones:

• GPU node access plan — Q3 2025

• GPU container runtime environment launch — Q4 2025

• GPU confidential computing R&D start — Q4 2025

• Confidential inference task pilot execution — Q2 2026

2. Hosting AI Models and Unified Inference Interfaces

Fluence will provide one-click deployment templates covering mainstream open-source models (such as LLM), orchestration frameworks like LangChain, agent systems, and MCP server-side services, expanding the platform's AI functionality stack. Deploying models will be more convenient and will support community developers' participation, enhancing ecosystem vitality.

Key Milestones:

• Model + orchestration template launch — Q4 2025

• Inference endpoint and routing system deployment — Q2 2026

3. Achieving Verifiable Community-Driven SLA

Fluence is building a decentralized trust and service assurance mechanism, introducing the Guardians mechanism. These participants (which can be individuals or institutions) are responsible for verifying the availability of network computing power and supervising the execution of service agreements through on-chain telemetry mechanisms, earning FLT rewards in return.

Participation in infrastructure governance can be achieved without hardware investment, as Guardians transform the enterprise-grade computing network into a public platform accessible to all. This mechanism will also be paired with the [Pointless Program] system to encourage community engagement and enhance qualifications for becoming a Guardian.

Key Milestones:

• First batch of Guardians online — Q3 2025

• Full deployment of Guardians & SLA agreement launch — Q4 2025

4. Integration of AI Computing and Composable Data Stacks

The future of AI is not just about computing power, but the fusion of computing power + data. Fluence is deeply integrating with decentralized storage networks (such as Filecoin, Arweave, Akave, IPFS) to empower developers with access to verifiable datasets and complete execution tasks in conjunction with GPU nodes.

Developers will be able to easily define AI jobs that access distributed data, run in GPU environments, and build complete AI backends—all tasks coordinated by FLT. The platform will also provide SDK modules and composable templates to facilitate connections between storage spaces and on-chain data, suitable for building AI agents, LLM tools, or research applications.

Key Milestones:

• Distributed storage backup launch — Q1 2026

• Dataset integration into AI workflows — Q3 2026

From Breaking Free of Cloud Dependency to Intelligent Collaboration

Fluence is creating a decentralized, censorship-resistant, and open collaborative AI computing foundation centered on GPU access, verifiable execution, and data composability. It is not monopolized by a few super-large cloud vendors, but rather driven by global developers and computing nodes together.

The future infrastructure of AI should reflect the values we hope AI itself embodies: openness, collaboration, verifiability, and accountability. Fluence is encoding these principles into its protocols.

Ways to Join Fluence:

• Apply to become a GPU node provider

• Register for the Fluence Cloudless VM beta

• Participate in the Pointless Program to unlock Guardian qualifications.

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