Workshop on AI and Serverless Computing (WoAIS)

The rise of new AI agents—which involve multiple LLM calls, dynamic plans, and a mix of code and AI models—is creating uniquely complex workloads for serverless platforms. This new reality has already resurfaced classic serverless headaches, such as cold starts, managing state, and figuring out resource allocation, but within the demanding context of modern AI applications. Furthermore, new complications are emerging, including mixed GPU/CPU needs, unpredictable execution plans, long-running yet highly bursty processes, and the critical need for robust agent-to-agent communication.

Looking beyond the cloud, the scope of serverless is expanding. We aim to look ahead at future architectures involving AI, hybrid clouds, and especially edge/IoT devices, which current serverless platforms are not well-equipped to support. This naturally leads to a discussion on the role of LLMs in Serverless, where we will explore how hybrid serverless platforms can be leveraged for the entire lifecycle of Large Language Models (LLMs) and Foundation Models (FMs), from fine-tuning to serving.

This workshop brings together researchers and practitioners to explore aspects such as use cases, resource allocations, optimizations, and using AI to improve serverless experience and to discuss their experiences and ideas for future directions in serverless research.

As this year the workshop is hybrid and we are looking not only for research papers, experience papers, demonstrations, or position papers but also for live presentations of ongoing work, demonstrations, and anything else that may be interesting to the workshop audience.

The latest version of this CFP is available at http://serverlesscomputing.org/woais1/