As the blockchain ecosystem continues to expand, the separation between different virtual machines has increasingly become a bottleneck for development and application composability. Developers often have to move logic across different chains or execution environments, which adds system complexity and increases security risks.
This challenge usually involves three layers: unifying execution models, enabling cross-virtual-machine interaction, and managing state. Together, these dimensions form the foundation of Fluent’s design.
What Is Fluent (BLEND)?
Fluent can be understood as a Layer2 system built around fused execution across multiple virtual machines. Its goal is to remove the boundaries between different execution environments.
At the mechanism level, Fluent allows EVM, SVM, and Wasm contracts to run within the same network and interact directly through a unified execution layer. This means developers can implement complex logic without relying on bridges or cross-chain communication.
Structurally, the network is built on a zkRollup framework. Execution takes place on Layer2, while Ethereum serves as the settlement layer and provides security guarantees.
The significance of this design is that it allows multiple development paradigms to work together in one shared environment, improving overall development efficiency.
How Blended Execution Works in Fluent
Blended Execution is Fluent’s core execution mechanism.
At the mechanism level, code from different virtual machines is converted into a unified execution representation so that it can run within the same execution environment. The execution process remains atomic, and cross-virtual-machine calls can be completed within a single transaction.
Structurally, this model relies on an execution abstraction layer and a compilation layer, bringing multiple languages and virtual machines into one execution system. Different VMs share state, which prevents data from becoming fragmented.
The significance of this mechanism is that cross-environment interaction becomes a built-in capability of the system rather than an added extension, greatly improving composability.
How Fluent’s Multi-Virtual-Machine Architecture Is Designed
The multi-virtual-machine architecture forms the foundation of Fluent.
At the mechanism level, the system supports three execution environments: EVM, SVM, and Wasm. Through an adaptation layer, their interfaces are unified so they can work together within the same execution process.
Structurally, Fluent includes an execution abstraction layer, a virtual-machine adaptation layer, and a state synchronization layer. These components work together to ensure that execution results from different VMs remain consistent.
| Virtual Machine |
Role |
| EVM |
Compatible with the Ethereum ecosystem |
| SVM |
Supports high-performance execution |
| Wasm |
Provides general-purpose computing capability |
The significance of this architecture is that developers can choose the execution environment best suited to their needs within the same network, without having to migrate to another chain.
How Fluent’s Execution Layer and zkRollup Mechanism Work
The execution layer and Rollup mechanism determine the network’s performance and security.
At the mechanism level, transactions are first computed in the Layer2 execution layer. State updates are then generated and submitted to Ethereum for verification through zero-knowledge proofs.
Structurally, zkRollup reduces the burden on the main chain by compressing the computation process and uploading only proof data, improving efficiency.
The significance of this design is that it enables higher throughput and lower costs while preserving security.
What Role Does rWasm Play in Fluent’s Execution System?
rWasm is an important component of Fluent’s execution system.
At the mechanism level, rWasm provides a unified execution environment, allowing code from different virtual machines to be processed and turned into verifiable results. It also supports the generation of zero-knowledge proofs.
Structurally, rWasm sits at the core of the execution layer, connecting the compilation layer with the verification layer so that multi-VM execution can be completed within one framework.
The significance of this component is that it makes multi-virtual-machine execution not only feasible, but also verifiable, helping ensure system security.
What Role Does the BLEND Token Play in the Fluent Network?
The BLEND token forms the economic foundation of the network.
At the mechanism level, BLEND is used to pay transaction fees, participate in governance, and incentivize network participants. Every computation and interaction may involve token flows.
Structurally, the token connects user behavior with the allocation of system resources, creating a closed loop between the execution layer and the economic system.
The significance of this design is that the network’s operation depends not only on its technical architecture, but also on economic incentives that help maintain stability.
What Are Fluent’s Use Cases and Developer Ecosystem?
Use cases show the practical value of the system’s capabilities.
At the mechanism level, Fluent supports cross-virtual-machine DeFi, complex smart contract composition, and multi-language development scenarios, all of which depend on its unified execution environment.
Structurally, developers can deploy different types of contracts within the same network and enable direct calls between them, making it possible to build complex systems.
The significance of this ecosystem structure is that application development becomes more flexible while the cost of cross-environment development is reduced.
How Is Fluent Different from Traditional Layer2s or Multi-Chain Solutions?
The difference between Fluent and traditional solutions lies in the execution model and the way interactions are handled.
At the mechanism level, traditional Layer2s are usually built around a single virtual machine. For example, Ethereum-compatible chains mainly rely on EVM execution. Multi-chain solutions, by contrast, use bridges to move assets and data between different networks. Fluent takes a different approach by enabling multiple virtual machines to work together through a unified execution layer, making cross-environment interaction a built-in system capability.
Structurally, the core difference between these paths is how execution environments are organized. One type of solution continues to optimize execution performance within a single virtual machine, such as chains focused on high throughput and parallel execution, including the path represented by Monad. Another type expands through multi-chain connectivity. Fluent, however, abstracts and integrates execution at the execution layer, allowing different virtual machines to run within the same state space.
| Dimension |
Fluent |
Traditional Layer2, Single VM |
Multi-Chain Solution |
| Execution model |
Multi-VM fusion |
Single-VM execution |
Multi-chain isolation |
| Interaction method |
Atomic calls |
Calls within a single chain |
Cross-chain bridges |
| State management |
Unified |
Single-chain |
Fragmented |
| Performance path |
Architectural fusion |
Execution optimization, such as parallelization |
Network expansion |
| Composability |
High |
Medium |
Low |
This comparison shows that mainstream scaling paths can be divided into three main types:
-
Multi-environment coordination through execution-layer fusion, represented by Fluent
-
Maximum performance optimization within a single virtual machine, such as the Monad path
-
Horizontal expansion through multi-chain structures
This difference makes Fluent better suited to complex cross-virtual-machine applications, while the high-performance single-VM path is more suitable for scenarios where execution logic is relatively unified.
How Should Fluent’s Advantages and Limitations Be Understood?
Its advantages and limitations together define its technical boundaries.
At the mechanism level, Fluent’s strengths lie in fused multi-virtual-machine execution and high composability, while its limitations come from system complexity and implementation difficulty.
Structurally, its advantages include a unified execution environment and strong scalability. Its constraints include a higher development threshold and an ecosystem that is not yet fully mature.
This trade-off suggests that Fluent is better suited to complex application scenarios, while simpler applications may not need a multi-VM architecture.
Summary
Through Blended Execution and a multi-virtual-machine architecture, Fluent integrates different execution environments into one unified system, improving composability while introducing a new Layer2 design paradigm.
FAQ
What Is Fluent’s Core Function?
It is used to enable unified execution across multiple virtual machines, allowing contracts from different ecosystems to work together within the same network.
Why Is Blended Execution Important?
Because it solves the problem of different virtual machines being unable to interact directly, thereby improving system composability.
What Are the Main Uses of the BLEND Token?
They include paying transaction fees, participating in governance, and incentivizing network participants.
Does Fluent Depend on Ethereum?
Yes. Ethereum serves as the settlement layer and provides security and verification capabilities.
What Is the Biggest Difference Between Fluent and Traditional Layer2s?
The main difference is that Fluent supports fused execution across multiple virtual machines, while traditional Layer2s usually support only a single virtual machine.
