Pushing Forward the Intelligent Compute Fabric and the Future of Decentralized Infrastructure
The June Town Hall was a deep dive into the technical, strategic, and operational milestones CETI AI has achieved over the past month. From live demos to roadmap alignment, here’s a full look at what’s happening behind the scenes:
🔧 Intelligent Compute Fabric (ICF) — Dispatcher Demo
Curtis opened the session with a detailed demonstration of CETI’s remote cluster dispatcher, showing how CETI can now manage clusters without requiring exposed IPs or inbound ports. This is a critical step toward simplifying the onboarding process for external cloud providers and enabling truly secure, remote orchestration.
The goal? Seamless plug-and-play participation for compute providers — making it easier than ever to contribute to CETI’s federated network.
📈 AutoScaler: Predictive Scaling for Decentralized AI Workloads
Marco followed with a live demo of the AutoScaler system, highlighting how CETI dynamically scales compute based on real-time performance metrics, market signals, and demand trends.
This intelligent scheduling framework ensures:
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Minimal latency
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Optimal resource allocation
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Reduced overhead from idle infrastructure
AutoScaler is the key to maintaining performance at scale while lowering compute costs for developers and ecosystem partners.
🌐 Federated Kubernetes Advancements
CETI continues to refine its federated Kubernetes control plane, enabling dynamic workload distribution across diverse providers. This architecture is being built with:
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Broker flexibility in mind
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Zero-touch cloud provisioning
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Inference and training-ready scheduling
As demand increases from Morpheus and other partners, this system lays the foundation for robust, decentralized AI infrastructure.
💡 Economic Modeling & Billing Layer Progress
The team provided insight into CETI’s economic model in progress, designed to:
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Compensate providers based on hardware categories and usage
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Ensure fairness in dispatch
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Create transparent revenue sharing across all participants
These efforts will power CETI’s billing layer and bring clarity to contributors on how value is captured and shared across the network.
🧩 Ecosystem Integration Highlights
CETI continues to expand its network by:
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Working with broker marketplaces like HyperDOS
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Supporting demand-side applications (e.g. Morpheus inference)
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Building tooling for broker-friendly APIs and metering
The objective remains clear: enable anyone with idle compute to join the ICF and participate in the AI economy.
🗓️ Looking Ahead
With demos delivered and infrastructure evolving rapidly, CETI will continue to:
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Push the ICF White Paper toward public review
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Onboard early external providers into the live network
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Grow its inference marketplace capabilities
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Expand strategic relationships with demand aggregators and brokers
📌 Missed the Town Hall?
Join our Discord for future meetings and access to all internal docs, transcripts, and real-time updates: https://taoceti.ai/discord
