Theta Labs Awarded U.S.

Theta Labs Awarded U.S. Patent for Hybrid Cloud-Edge Computing Architecture for Decentralized Computing Platform

Theta Labs has now been awarded U.S. Patent Application 2025/0123902 for “Hybrid Cloud-Edge Computing Architecture for Decentralized Computing Platform”, demonstrating the innovative approaches to decentralized edge computing built by the Theta team. The patent application was published by the USPTO on January 29, 2026, and can be viewed directly as a PDF here.

This patent approval follows numerous other Theta patents issued for highly scalable, decentralized systems, peer-to-peer methods, digital rights management and edge networks. The complete list of Theta’s patents can be found on our Medium page.

This new patent focuses on a hybrid system that integrates cloud-based networks with edge computing nodes to create an efficient, scalable platform for resource-intensive computation tasks.

Key Innovations in the Patent

This new patent describes a Hybrid Cloud-Edge Computing Architecture that addresses the computational demands of modern AI, machine learning, and video processing workloads. Traditional cloud platforms face challenges with latency, bandwidth costs, and scalability, while edge computing nodes typically lack the coordination needed for large-scale deployments. The invention bridges this gap through intelligent orchestration.

The system partitions worker nodes into distinct shards optimized for specific workload characteristics. Managed shards operated by Theta Labs provide enterprise-grade reliability, data center partner shards contribute institutional compute power, and community shards leverage edge nodes contributed by users worldwide. This multi-tiered approach enables EdgeCloud to serve diverse computational needs efficiently.

A coordinator cluster serves as the central orchestration layer, receiving computation tasks and determining optimal shard assignments based on efficiency scores. These scores account for task requirements, node availability, computing capacity, reliability, and network latency. This intelligent routing ensures workloads execute on the most appropriate resources.

The architecture integrates blockchain-based smart contracts for task verification and reward distribution. Worker nodes completing computation tasks are verified through the coordinator cluster and rewarded with cryptocurrency tokens from reward pools on the THETA blockchain. This creates a trustless, incentivized environment for decentralized computing without requiring centralized intermediaries.

Enabling EdgeCloud’s Decentralized AI Infrastructure

This Hybrid Cloud-Edge Computing Architecture directly enables Theta EdgeCloud to serve workloads ranging from AI model training and inference to video encoding and 3D rendering. The coordinator cluster’s intelligent routing ensures latency-sensitive applications execute on nearby edge nodes, while compute-intensive tasks utilize high-performance GPU clusters in data centers.

For AI workloads specifically, the system supports distributed training across multiple nodes, parallel hyperparameter tuning, and scalable model serving for inference requests. The architecture also enables task pipelining, where complex workloads are decomposed into stages executed across different network types, optimizing both performance and cost across the hybrid infrastructure.

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