AI Servers and AIGC

New TrendForce Report Unveils: Rising AIGC

TrendForce has issued a new report titled “Surge in AIGC Applications to Drive Long-Term Demand for AI Servers.” Beyond highlighting the latest developments in AI, the report also

Artificial intelligence generated content (AIGC): Industry insights and

From personalized healthcare to autonomous systems and intelligent infrastructure, AI''s relevance today is both pervasive and profound. AI-generated content (AIGC) – once a secondary

Enabling AI-Generated Content (AIGC) Services in Wireless

Specifically, AIGC service providers (ASPs) can deploy AI models on edge servers to deliver instant services to users over wireless networks, offering more convenient and customizable experience.

Unleashing the Power of Edge-Cloud Generative AI in

This survey paper focuses on the deployment of AIGC applications, e.g., ChatGPT and Dall-E, at mobile edge networks, namely mobile AIGC networks, that provide personalized and customized AIGC

Exploring artificial intelligence generated content (AIGC) applications

This paper examines the link between the Metaverse and AIGC, exploring AIGC''s applications, underlying technologies, and future challenges. It reveals that while AIGC shows

A Brave New World: Innovative AIGC Developments On The Horizon

In this article, I''ll be focusing on some of the exciting and dynamic new capabilities that are emerging from AIGC, which are being leveraged not only to create games but also an array of

Development Prospects for AI Data Center Network Architecture

This trend not only highlights the commercial potential of AIGC technology, but also signals that AI will lead a new era of innovation and growth. Against this backdrop, it is evident that AIGC will require

A Survey of AI-Generated Content (AIGC) | ACM

In this survey, we first provide a review of foundation techniques commonly used in AIGC.

Generative AI-aided Optimization for AI-Generated Content (AIGC

However, the training and deployment of large AI models necessitate significant resources. To address this issue, we introduce an AIGC-as-a-Service (AaaS) architec-ture, which deploys AIGC models in

A Survey of AI-Generated Content (AIGC) | ACM Computing Surveys

In this survey, we first provide a review of foundation techniques commonly used in AIGC.

Optimizing AI-Generated Content (AIGC) Workloads for Energy

Explore cutting-edge strategies for scheduling AIGC workloads in distributed data centers to reduce energy costs while ensuring high-quality content, leveraging DRL and diffusion models.

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