Cover Image

The AI_INFN Platform: Artificial Intelligence Development in the Cloud

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Anderlini, Lucio, Bianchini, Giulio, Ciangottini, Diego, Pra, Stefano Dal, Michelotto, Diego, Petrini, Rosa, Spiga, Daniele
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
by: Anderlini, Lucio, et al.
Published: (2025)

Hyperparameter Optimization as a Service on INFN Cloud
by: Barbetti, Matteo, et al.
Published: (2023)

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research
by: Heredia, Ignacio, et al.
Published: (2025)

An Artificial Intelligence Framework for Joint Structural-Temporal Load Forecasting in Cloud Native Platforms
by: Zhang, Qingyuan
Published: (2026)

Cloud abstractions for AI workloads
by: Canini, Marco, et al.
Published: (2025)

Workload Intelligence: Punching Holes Through the Cloud Abstraction
by: Huang, Lexiang, et al.
Published: (2024)

Asynchronous Cooperative Optimization of a Capacitated Vehicle Routing Problem Solution
by: Accorsi, Luca, et al.
Published: (2025)

Environmentally-Conscious Cloud Orchestration Considering Geo-Distributed Data Centers
by: Attenni, Giulio, et al.
Published: (2025)

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms
by: Stojkovic, Jovan, et al.
Published: (2025)

GeoFaaS: An Edge-to-Cloud FaaS Platform
by: Malekabbasi, Mohammadreza, et al.
Published: (2024)

Leveraging Large Language Model for Intelligent Log Processing and Autonomous Debugging in Cloud AI Platforms
by: Ji, Cheng, et al.
Published: (2025)

MAGNUS: Generating Data Locality to Accelerate Sparse Matrix-Matrix Multiplication on CPUs
by: Wolfson-Pou, Jordi, et al.
Published: (2025)

ElastiBench: Scalable Continuous Benchmarking on Cloud FaaS Platforms
by: Schirmer, Trever, et al.
Published: (2024)

Spatio-Temporal Shifting to Reduce Carbon, Water, and Land-Use Footprints of Cloud Workloads
by: Attenni, Giulio, et al.
Published: (2025)

Generative Artificial Intelligence Reproducibility and Consensus
by: Kim, Edward, et al.
Published: (2023)

A User-centric Kubernetes-based Architecture for Green Cloud Computing
by: Zanotto, Matteo, et al.
Published: (2025)

Propius: A Platform for Collaborative Machine Learning across the Edge and the Cloud
by: Ding, Eric
Published: (2025)

Repurposing of the Run 2 CMS High Level Trigger Infrastructure as a Cloud Resource for Offline Computing
by: Mascheroni, Marco, et al.
Published: (2024)

Toward Scalable Docker-Based Emulations of Blockchain Networks for Research and Development
by: Pennino, Diego, et al.
Published: (2024)

Vitamin-V: Expanding Open-Source RISC-V Cloud Environments
by: Canal, Ramon, et al.
Published: (2024)

Saarthi: An End-to-End Intelligent Platform for Optimising Distributed Serverless Workloads
by: Agarwal, Siddharth, et al.
Published: (2025)

Seer: Proactive Revenue-Aware Scheduling for Live Streaming Services in Crowdsourced Cloud-Edge Platforms
by: Huang, Shaoyuan, et al.
Published: (2024)

SimDC: A High-Fidelity Device Simulation Platform for Device-Cloud Collaborative Computing
by: Pei, Ruiguang, et al.
Published: (2025)

Development of a Cloud-Based Payroll Management System
by: Aina, Adeyemi, et al.
Published: (2025)

Ridgeline: A 2D Roofline Model for Distributed Systems
by: Checconi, Fabio, et al.
Published: (2022)

Combining Declarative and Linear Programming for Application Management in the Cloud-Edge Continuum
by: Massa, Jacopo, et al.
Published: (2025)

AeroDaaS: A Programmable Drones-as-a-Service Platform for Intelligent Aerial Systems
by: Astu, Kautuk, et al.
Published: (2026)

Object Abstraction To Streamline Edge-Cloud-Native Application Development
by: Lertpongrujikorn, Pawissanutt
Published: (2025)

e112: A Context-Aware Mobile Emergency Communication Platform Leveraging Smartphone Sensing and Cloud Services
by: Ioannidou, Katerina, et al.
Published: (2026)

An Empirical Study of Production Incidents in Generative AI Cloud Services
by: Yan, Haoran, et al.
Published: (2025)

SynergAI: Edge-to-Cloud Synergy for Architecture-Driven High-Performance Orchestration for AI Inference
by: Stathopoulou, Foteini, et al.
Published: (2025)

Adventures with Grace Hopper AI Super Chip and the National Research Platform
by: Hurt, J. Alex, et al.
Published: (2024)

Embedded Made Easy -- Rethinking Embedded + Cloud Software Development (WIP)
by: Arnold, Anthony, et al.
Published: (2026)

Resource Slicing through Intelligent Orchestration of Energy-aware IoT services in Edge-Cloud Continuum
by: Shahid, Hafiz Faheem, et al.
Published: (2024)

Offloading Artificial Intelligence Workloads across the Computing Continuum by means of Active Storage Systems
by: Barceló, Alex, et al.
Published: (2025)

SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation
by: Xiong, Yifan, et al.
Published: (2024)

AI-Driven Multi-Region Provisioning for Cloud Services Using Spot Fleets
by: Fabra, Javier, et al.
Published: (2026)

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes
by: Mao, Ying, et al.
Published: (2020)

Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services
by: Patel, Dhavalkumar, et al.
Published: (2024)

Exploring Challenges in Developing Edge-Cloud-Native Applications Across Multiple Business Domains
by: Lertpongrujikorn, Pawissanutt, et al.
Published: (2026)