Global Forum on Ai Infrastructure, Cloud-edge Synergy and Scalability

Important dates

1. 13 Dec

   Abstract / full paper deadline

   In 28 days

2. 9–10 Jan

   Conference

   Munich, Germany

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

Global Forum on Ai Infrastructure, Cloud–edge Synergy & Scalability GFAICESS, organized by World Research Association for Education and Science, is a leading international conference that connects researchers, engineers, healthcare professionals, academicians, scientists, industry experts, and professionals from around the world. The conference provides a global platform to share groundbreaking research, discuss emerging developments, showcase innovative ideas, and build meaningful professional collaborations. By bringing together diverse academic and professional communities, Global Forum on Ai Infrastructure, Cloud–edge Synergy & Scalability GFAICESS aims to promote knowledge exchange, interdisciplinary collaboration, innovation, and the advancement of research on a global scale.

Topics and scope

• AI Infrastructure Architectures
• Cloud–Edge Computing
• Cloud–Edge Continuum
• Edge AI Systems
• Distributed AI Infrastructure
• Scalable AI Platforms
• AI Workload Optimization
• Intelligent Resource Management
• Dynamic Resource Allocation
• Cloud Resource Orchestration
• Edge Resource Orchestration
• AI-Based Load Balancing
• Cloud–Edge Task Offloading
• Distributed AI Training
• Distributed AI Inference
• Edge Model Deployment
• Large Language Models at Edge
• Foundation Models at Edge
• AI Accelerator Architectures
• GPU Infrastructure Optimization
• TPU and NPU Computing
• Heterogeneous AI Systems
• Containerized AI Workloads
• Kubernetes for AI
• Serverless AI Computing
• Microservices for AI
• Cloud-Native AI Platforms
• Edge-Native Applications
• Fog Computing Infrastructure
• Multi-Access Edge Computing
• 5G/6G Edge Intelligence
• AI Networking and Connectivity
• Software-Defined Infrastructure
• Network Function Virtualization
• Intelligent Data Placement
• Distributed Data Processing
• Edge Data Management
• Cloud–Edge Storage Systems
• Distributed Database Scalability
• AI Caching Strategies
• Real-Time Edge Analytics
• Low-Latency AI Computing
• Energy-Efficient AI Infrastructure
• Green Cloud Computing
• Sustainable Edge Computing
• Carbon-Aware AI Scheduling
• Infrastructure Security for AI
• Privacy-Preserving Edge AI
• Federated Learning Infrastructure
• Secure Distributed AI
• Fault-Tolerant AI Systems
• Resilient Cloud–Edge Architectures
• AI Infrastructure Observability
• Performance Monitoring
• Scalability Benchmarking
• Elastic AI Computing
• Autonomous Infrastructure Management
• Digital Twins for Infrastructure
• AI-Driven Infrastructure Optimization
• Cost-Efficient AI Deployment
• Hybrid Cloud AI
• Multi-Cloud AI Infrastructure
• Interoperable Cloud–Edge Systems
• Cross-Platform AI Deployment
• AI Infrastructure Standards
• Scalable AI-as-a-Service
• Infrastructure for Generative AI
• Cloud–Edge AI Governance

Call for papers

Abstracts are due by 13 December 2026. Submission details are on the official website.