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Reward Pool
5,000 $FET will be distributed among the Top 100 participants on the leaderboard—recognizing both new and long-time contributors for their active involvement.

Campaign Format
Participants can complete a range of quests—from onboarding flows and content creation to social media engagement. Each activity helps grow the Ocean ecosystem and earns points toward leaderboard ranking.

Campaign Dates
Live from April 23 to May 23, 12:00 PM UTC

Whether you’re an experienced community member or joining the ASI Alliance ecosystem for the first time, this is a great opportunity to learn, contribute, and earn $FET along the way.

Join the campaign: zealy.io/cw/oceanprotocol/questboard

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High-Performance Compute at a Global Scale

At the core of ASI Compute lies a globally distributed network of high-spec machines, purpose-built for AI training and inference at scale. This includes modular Ecoblox ExaContainers, custom-engineered to deliver scalable, high-density compute in data centers across multiple continents.

These units are equipped with a diverse fleet of NVIDIA, AMD, and Tenstorrent GPUs, optimized for both parallel training and low-latency inference. Paired with enterprise-grade ASUS and GIGABYTE AI servers, the infrastructure supports:

• 8-GPU NVLink systems, delivering up to 1.8TB/s of memory bandwidth.

• 800 Gbps Infiniband, enabling ultra-fast data transfer across clusters for distributed model orchestration.

This backbone forms the high-performance layer of the ASI innovation stack, delivering the raw power required for sophisticated AI workflows—including foundation model training, real-time agent execution, and federated learning across trust boundaries.

CUDOS: Decentralized Compute at the Edge

Beyond centralized power, the Alliance extends its capabilities with decentralized compute infrastructure via CUDOS, enabling open access to community-run hardware.

CUDOS contributes a flexible compute layer that supports:

• Distributed GPU clusters for permissionless AI workloads.

• Scalable storage compatible with S3 standards, ideal for handling large datasets.

• Managed services and orchestration tools that make deploying compute resources seamless for developers and enterprise users alike.

This hybrid approach—combining high-end data center infrastructure with permissionless, decentralized compute—ensures ASI can scale with demand while staying true to its principles of openness, accessibility, and global participation.

Built to Power the Entire Innovation Stack

The compute infrastructure isn’t isolated—it fuels the entire ASI platform, powering key modules such as:

• ASI Compute, which supports model execution, agent deployment, and GPU-intensive inference.

• ASI Train, which enables federated, privacy-preserving training across diverse, siloed datasets.

• ASI Zero and MeTTaCycle, which coordinate multi-agent logic and orchestration.

As the ASI ecosystem grows, this layered infrastructure ensures that developers, researchers, and organizations can reliably build intelligent systems—from agentic applications to collaborative AI models—without needing to manage compute logistics themselves.

Enabling Scalable, Democratized AGI

Through this investment in compute performance, decentralized access, and network resilience, the ASI Alliance is laying the groundwork for a truly open, global AI ecosystem. This infrastructure is more than just a utility—it’s the operational core that enables AI to scale ethically, securely, and sustainably across domains.

Whether you’re training next-generation models, building multi-agent systems, or running inference at the edge, ASI Compute is built to support you.

The post Powering the Future of AI: Inside the ASI Alliance Compute Infrastructure appeared first on ASI | Artificial Superintelligence Alliance.

By combining ASI-1 Mini’s advanced Mixture of Models and Mixture of Agents architecture with Functionland’s edge computing devices, this partnership eliminates reliance on cloud infrastructure, delivering enterprise-grade AI capabilities with enhanced privacy, efficiency, and user control. The decentralized AI stack enables local AI execution, ensuring complete data ownership and autonomy for users and businesses alike.

ASI-1 Mini is designed to be more hardware efficient than conventional AI models, making it the perfect match for Functionland’s high-performance NPUs. This synergy brings an unprecedented level of performance and accessibility, allowing users to deploy powerful AI agents on decentralized infrastructure—without compromising speed or functionality.

This collaboration represents more than just a technological advancement—it is a paradigm shift in AI accessibility. By eliminating cloud dependencies, Fetch.ai and Functionland enable individuals, enterprises, and developers to fully own and control their AI models and data. This partnership also fosters a shared token economy, ensuring that communities benefit directly from the AI revolution they help drive.

“Our partnership with Fetch.ai represents a fundamental shift in AI deployment. By integrating ASI-1 Mini with our decentralized hardware, we’re empowering users to fully own both their AI and data—eliminating the false choice between powerful AI capabilities and privacy. This is how we democratize access to AI technology.” said Ehsan Shariati, founder of Functionland.

The Fetch.ai and Functionland partnership paves the way for the next wave of decentralized applications (dApps) that are smarter, more autonomous, and deeply integrated with community-driven AI models. This innovation marks a new chapter where AI is no longer confined to centralized entities but is instead a collective resource, owned, operated, and improved by its users.

About Fetch.ai

Fetch.ai inc, a Delaware AI company and founding member of ASI Alliance, is redefining the possibilities of an intelligent and connected world through its AI agent-based technology. Fetch.ai‘s infrastructure technology enables developers and businesses to build, deploy & monetize through an agent-based modular platform for the new generation of AI applications. The company’s core product, Agentverse, fuses Language Models (LLMs) and AI Agents to create an open and dynamic marketplace that connects users to services and reimagines the current search experience.

For additional information visit: fetch.ai

About The Artificial Superintelligence Alliance

The Artificial Super Intelligence (ASI) Alliance is a collective formed by Fetch.ai, SingularityNET (SNET), Ocean Protocol and CUDOS. As the largest open-sourced, independent entity in AI research and development, this alliance aims to accelerate the advancement of decentralized Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI).

For additional information on ASI, visit: superintelligence.io

About Functionland

Functionland’s flagship product, Fula Platform, revolutionizes data infrastructure by enabling individuals to monetize their devices’ idle storage capacity as decentralized data centers. It slashes storage costs by 60% while safeguarding data sovereignty, while extending the usage of valuable decentralized compute resources, and empowering users to create an ecosystem poised to redefine the future of AI development.

For additional information visit: fx.land

The post Functionland Integrates ASI-1 Mini with to Enable an Autonomous AI Ecosystem appeared first on ASI | Artificial Superintelligence Alliance.

What’s New?
ASI-1 Mini can now transform user-provided data—like PDFs, websites, or structured text—into dynamic knowledge graphs. These graphs empower the model to better retain user preferences, understand contextual nuance, and offer deeply relevant responses across industries and domains.

Why It Matters
While traditional LLMs rely on short-term memory and pre-training, ASI-1 Mini leverages structured, evolving context to adapt continuously. The result?

• Smarter conversations
• Persistent personalization
• Document-aware research workflows
• Fine-tuned domain expertise

Enhanced Experience
With an intuitive interface toggle, users can switch between the classic mode and the new graph-enhanced mode—choosing the best experience for their needs.

This launch underscores the ASI Alliance’s shared vision: enabling modular, agent-ready, decentralized AI that evolves with its users. Knowledge Graph integration isn’t just a feature—it’s a foundational step toward community-powered, continuously learning AI.

Stay tuned for more innovations from across the ASI Alliance.

The post Introducing ASI-1 Mini with Knowledge Graph Integration – A First-of-Its-Kind Conversational AI Experience appeared first on ASI | Artificial Superintelligence Alliance.