Holistic Energy-aware & confidentiaL orchestratIOn for healthcare AI System
Intelligent and Confidential Management of Cloud Infrastructures for Healthcare AI
A pioneering initiative to develop secure and optimized cloud infrastructures for medical AI applications
Holistic Energy-aware & confidentiaL orchestratIOn for healthcare AI System
A name that reflects our holistic approach combining energy optimization, confidential security, and intelligent orchestration for healthcare AI systems. HELIOS aims to power the future of trustworthy and sustainable healthcare AI infrastructure.
AI-driven cloud infrastructure capable of autonomously predicting resource needs, optimizing workload placement, and dynamically adjusting CPU, GPU, memory, network, and storage allocations. This adaptive orchestration maximizes performance while reducing energy consumption.
Healthcare data protection through hardware-based Confidential Computing technologies such as AMD SEV-SNP, Intel TDX, and Arm CCA. Confidential VMs keep data encrypted even during processing, preventing unauthorized access and ensuring GDPR and healthcare standards compliance.
Substantial energy savings through integration of EasyVirt's solutions and development of AI-driven optimization algorithms. Reduce power consumption without compromising confidentiality or performance, addressing the growing environmental concerns of AI infrastructure.
Multidisciplinary Institute in Artificial Intelligence
MIAI @ Grenoble Alpes aims to conduct research in artificial intelligence at the highest level, to offer attractive courses for students and professionals of all levels, to support innovation in large companies, SMEs and startups and to inform and interact with citizens on all aspects of AI.
No less than 55 companies have already contributed to MIAI with €5.8 million per year, including 23 large companies, 21 SMEs and 11 startups. This is a testament to the socio-economic world’s interest in artificial intelligence as well as the quality of the Grenoble ecosystem.
Top-tier research teams from UGA, CNRS, Grenoble INP, and Inria working on AI-based heathcare and cloud computing
Strong connections with industry leaders through collaborative research programs
Addressing societal challenges in health, environment, and digital transformation with AI solutions
A consortium of excellence bringing together industrial expertise and academic innovation
Academic Research Team
Research team from Laboratoire d'Informatique de Grenoble specialized in cloud systems, virtualization, and confidential computing. Internationally recognized expertise in distributed systems optimization and security.
Academic Research Team
Research team from Laboratoire d'Informatique de Grenoble specialized in Artificial Intelligence for healthcare. Expertise in medical data analysis, clinical AI applications, and GDPR compliance in the healthcare domain.
Lead Industrial Partner
European leader in open-source virtualization with XCP-ng and XenOrchestra. Vates brings expertise in cloud infrastructure and funds two CIFRE PhD positions on AI workload optimization and security in virtualized environments.
Sustainability Partner
Green IT and infrastructure monitoring specialist. EasyVirt provides DC Scope and CO2 Scope solutions for energy consumption optimization and funds a research engineer dedicated to energy modeling and experimentation.
Four complementary work packages for a holistic approach
Effective coordination, smooth communication between partners, rigorous deliverable monitoring, and strategic oversight ensuring successful project execution.
Development of self-adaptive cloud infrastructure capable of predicting, optimizing, and automatically adjusting resources for healthcare AI workloads.
Optimization of Confidential VMs for healthcare AI applications using AMD SEV-SNP and Intel TDX while maintaining high performance levels.
Drastic reduction of energy consumption through EasyVirt solutions integration and development of AI-driven optimization algorithms.
Leading researchers and industry experts
Expert in cloud systems and virtualization, specialized in performance optimization and confidential computing.
Specialist in Artificial Intelligence for healthcare and clinical applications of machine learning.
Cloud management system vendor.
Monitoring system vendor.
Nov 2025-2028.
Oct 2026-2029.
External experts
Expert in confidential computing and distributed systems.
Specialist in privacy in AI systems.
Expert in security and privacy.
Expert in cloud computing and performance improvement.
Expert in System for ML.
Expert in algorithms and hardware accelerators dedicated to bioinformatics.
Interested in our project? Feel free to reach out
MIAI Industrial Chair | Grenoble
This industrial chair is funded by the MIAI (Multidisciplinary Institute in Artificial Intelligence) program at Université Grenoble Alpes as part of the France 2030 investment plan ANR-23-IACL-0006, with support from Vates and EasyVirt. The project brings together academic excellence and industrial innovation to advance trustworthy and sustainable healthcare AI infrastructure.