☀️ HELIOS

Holistic Energy-aware & confidentiaL orchestratIOn for healthcare AI System

Intelligent and Confidential Management of Cloud Infrastructures for Healthcare AI

The HELIOS Project

A pioneering initiative to develop secure and optimized cloud infrastructures for medical AI applications

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HELIOS

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.

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Autonomous Orchestration

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.

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Confidential Computing

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.

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Energy Sustainability

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.

MIAI Cluster

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.

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Academic Excellence

Top-tier research teams from UGA, CNRS, Grenoble INP, and Inria working on AI-based heathcare and cloud computing

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Industrial Partnerships

Strong connections with industry leaders through collaborative research programs

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Global Impact

Addressing societal challenges in health, environment, and digital transformation with AI solutions

Our Partners

A consortium of excellence bringing together industrial expertise and academic innovation

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LIG - KrakOS

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.

Cloud Computing Security Distributed Systems GDPR Compliance
Principal Investigator
Alain Tchana
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LIG - SANGRIA

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.

Healthcare AI Medical Applications GDPR Compliance Clinical Use Cases
Co-Principal Investigator
Nicolas Vuillerme
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Vates

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.

XCP-ng Virtualization XenOrchestra Confidential VMs
Project Manager
Stanislas Assier de Pompignan
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EasyVirt

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.

DC Scope CO2 Scope Green Computing Monitoring
Project Manager
Martin Dargent

Research Program

Four complementary work packages for a holistic approach

WP0

Project Management

Effective coordination, smooth communication between partners, rigorous deliverable monitoring, and strategic oversight ensuring successful project execution.

  • Scientific and technical coordination
  • Administrative and financial management
  • Deliverables and performance indicators tracking
  • Communication and dissemination
  • Risk management and quality assurance
WP1

AI-Driven Autonomous Orchestration

Development of self-adaptive cloud infrastructure capable of predicting, optimizing, and automatically adjusting resources for healthcare AI workloads.

  • Healthcare AI workload characterization
  • Intelligent orchestration algorithms
  • Multi-objective optimization
  • Scalability and performance
  • XCP-ng and XenOrchestra integration
WP2

High-Performance Confidential Computing

Optimization of Confidential VMs for healthcare AI applications using AMD SEV-SNP and Intel TDX while maintaining high performance levels.

  • Confidential VMs benchmarking
  • Performance optimizations
  • Distributed trust mechanisms
  • Secure migration and high availability
  • GDPR compliance and auditing
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Energy Optimization

Drastic reduction of energy consumption through EasyVirt solutions integration and development of AI-driven optimization algorithms.

  • Energy consumption modeling
  • Green IT optimization algorithms
  • Secure workload consolidation
  • DC Scope and CO2 Scope integration
  • Energy monitoring and reporting

The Team

Leading researchers and industry experts

Alain Tchana

Principal Investigator
LIG - KrakOS | Grenoble INP - UGA

Expert in cloud systems and virtualization, specialized in performance optimization and confidential computing.

Nicolas Vuillerme

Co-Principal Investigator
LIG - SANGRIA | UGA

Specialist in Artificial Intelligence for healthcare and clinical applications of machine learning.

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Stan Assier de Pompignan

Industrial partner
Vates

Cloud management system vendor.

Martin Dargent

Industrial partner
EasyVirt

Monitoring system vendor.

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Donald Onana

PhD student
Vates-KrakOS

Nov 2025-2028.

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Louis Duval (hiring)

PhD student
Vates-KrakOS

Oct 2026-2029.

The Advisary Board

External experts

Pascal Felber

University of Neuchatel - Switzerland

Expert in confidential computing and distributed systems.

Sara Bouchenak

LIRIS - INSA Lyon

Specialist in privacy in AI systems.

Sonia Ben Mokhtar

LIRIS - CNRS

Expert in security and privacy.

Daniel Hagimont

IRIT - Toulouse University

Expert in cloud computing and performance improvement.

Oana Balmau

McGill - Canada

Expert in System for ML.

Dominique Lavenier

IRISA - CNRS

Expert in algorithms and hardware accelerators dedicated to bioinformatics.

Contact

Interested in our project? Feel free to reach out

Principal Investigator

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🏛️
Laboratory

Co-Principal Investigator

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Laboratory
LIG - SANGRIA
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HELIOS Project

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.