The Theta engineering team developed generative AI model pipelines, leading to the launch of EdgeCloud. Introduced last year, their latest product is a sketch-to-3D AI model.

Theta recently upgraded the EdgeCloud AI Showcase, which includes features, machine learning models, and parameters. Essential tools for the pipeline include data cleaning, feature engineering, and selection.

Data science experts, IT, and DevOps teams collaborate to create and manage the AI model pipeline, which is costly and time-consuming to maintain. Theta EdgeCloud is the first ecosystem to support machine learning operations for edge computing.

Machine learning operations are crucial for managing AI pipelines, and Theta EdgeCloud has transformed the cloud and edge architecture landscapes, especially in AI media, video, and entertainment. Next year, it will implement a hybrid computing ecosystem powered by community edge nodes.

Theta EdgeCloud combines cloud and edge architecture elements, built on a distributed edge system, offering GPU processing to developers, businesses, and researchers. It revitalizes the edge computing industry with a decentralized, cost-effective alternative to traditional cloud services, leveraging blockchain technology.

The growing adoption of AI drives EdgeCloud's popularity, supported by Theta’s global network of 10,000 active edge nodes. Theta Network is a leading decentralized cloud platform for media, entertainment, and AI.

EdgeCloud, a major hybrid edge cloud computing network, is powered by a Web3 community focused on AI, entertainment, and media. It is notable for its GPU infrastructure capable of running over 1,000 AI models simultaneously.

EdgeCloud's extensive GPU computing power, a valuable asset in the AI industry, will soon integrate community-managed edge nodes with cloud-based infrastructure.