ETHGlobal

ETHGlobal Cannes

Fluence

$2,000

About

Fluence is a DePIN enabling a cloudless compute platform that provides a resilient, open and low-cost alternative to traditional cloud computing. The platform aggregates CPU resources from enterprise-grade data centers around the world in a global, decentralizde, resilient and cost-effective DePIN platform, allowing users to go cloudless and avoid vendor lock-in and subjective deplatforming.

Prizes

🧠 Best Use of Fluence Virtual Servers in AI ⸺ $1,000

A total of $2,000 [$1,000 cash prize + $1,000 in Fluence Credits] will be awarded to the most impactful use of Fluence for AI workloads. Goal Demonstrate a working AI project using CPU-only VMs from Fluence. Expectations > Efficient AI application deployed on Fluence VMs. > Examples: small/quantized models, inference APIs, agentic LLM backends. > Ideally, build toward CPU-only compatibility, no GPUs required.

Qualification Requirements

1. Private GitHub Repo > Keep your repository private until submission. > Add @justprosh as collaborator before the deadline. 2. Comprehensive Documentation Include a `README.md with: > What it does: Project purpose and overview. > How to set it up: Full setup instructions. > How to run it: Runtime guidance and usage steps. > Examples: Demo inputs/outputs, screenshots, or API calls. 3. Deployment & Access You must: > Deploy your project on Fluence Virtual Servers > Provide one of the following: - A public endpoint + usage instructions + VM id or - A Terraform or Ansible script to launch your environment on a Fluence VM 4. Licensing Include an open-source license (e.g., MIT or Apache 2.0).

Links and Resources

Docs

https://fluence.dev/docs/build/overview

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Fluence Console

https://console.fluence.network/auth/sign-in

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Get approval and 20$ credits

https://fluence.chat/console-credits

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⚙️ Best Reusable Fluence Virtual Servers Image ⸺ $1,000

A total of $2,000 [$1,000 cash prize + $1,000 in Fluence Credits] will go to the team that creates the most versatile and production-grade custom image Goal Provide a VM image or stack that is easy to reuse or build upon. Expectations - Create a reusable VM image or toolchain. - Examples: dev-ready LLM stack, RPC nodes,Vaidator nodes, e.g., sentry pattern or clustering across VMs, or decentralized indexers. - Include image reference, Terraform/Ansible deploy and usage docs. - Must be modular and forkable by others.