> For the complete documentation index, see [llms.txt](https://syneriss-organization.gitbook.io/syneris/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://syneriss-organization.gitbook.io/syneris/key-participants-in-the-syneris-ecosystem.md).
# Key Participants in the Syneris Ecosystem
## End Users
End users are the primary consumers of the Syneris protocol’s AI-powered products. They represent a diverse group, ranging from individual developers and researchers to large enterprises seeking AI solutions.
End users can access AI models specifically tailored to their needs, allowing for customized solutions across various applications, including data analysis, predictive modeling, and automation.
Syneris encourages end users to actively engage with the ecosystem, providing feedback and insights that contribute to the continuous improvement of AI models.
## GPU + CPU Contributors
De-GPU Network in Syneris is formed portionally by GPU and CPU contributors—individuals or organizations that provide their computational resources to the De-GPU network.
Contributors play a vital role in maintaining the computational capacity of the network by offering their underutilized CPU and GPU resources. This enhances the overall efficiency and scalability of Syneris.
By participating in Syneris Ecosystem, contributors become integral members of a growing community focused on decentralized computing and AI innovation.
## AI Builders
AI Builders form the core of Syneris’s economic model, driving the creation and refinement of AI models. This group comprises a wide range of participants, including:
* **AI Experts:** Skilled professionals with extensive knowledge in AI development who can contribute advanced models and solutions to the platform.
* **Developers:** Programmers and software engineers who can develop and integrate new features, enhancing the capabilities of existing AI models.
* **Non-Experts:** Syneris is designed to encourage participation from individuals without formal AI training. Educational resources and intuitive tools will be made available to empower these contributors to engage in AI model development.
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