

12th Annual High Performance Containers Workshop
Friday, June 26, 2026 9:00 AM to 6:00 PM · 9 hr. (Europe/Berlin)
Hall X1 - 1st Floor
Workshop
AI FactoriesComposable Disaggregated InfrastructureDevelopment of HPC SkillsHPC in the Cloud and HPC ContainersSovereignty in AI
Information
The High Performance Containers Workshop (HPCW) convenes researchers, operators, and industry to advance HPC, AI/ML, and cloud‑native container workflows across supercomputers, clouds, and edge sites.
The rapid growth of GPU-driven AI workloads is fundamentally reshaping infrastructure design. Traditional public cloud platforms increasingly struggle to meet the demands of predictable performance, cost efficiency, and data sovereignty. Meanwhile, conventional HPC environments lack the agility required to support dynamic AI workflows. This gap is driving a shift toward hybrid infrastructures, Kubernetes-based AI platforms, not merely as orchestration tools, but as catalysts for a broader architectural transformation in HPC.
This workshop will explore containerized HPC/AI deployments, especially automated MLOps platforms designed to power emerging “AI factories”: environments purpose-built for continuous model development, deployment, and monitoring. We’ll examine how container-native infrastructure, GPU-aware scheduling, checkpointing, and open-source tooling enable reproducible, resilient AI pipelines in multi-tenant settings and adjacent topics.
Organizers:
The rapid growth of GPU-driven AI workloads is fundamentally reshaping infrastructure design. Traditional public cloud platforms increasingly struggle to meet the demands of predictable performance, cost efficiency, and data sovereignty. Meanwhile, conventional HPC environments lack the agility required to support dynamic AI workflows. This gap is driving a shift toward hybrid infrastructures, Kubernetes-based AI platforms, not merely as orchestration tools, but as catalysts for a broader architectural transformation in HPC.
This workshop will explore containerized HPC/AI deployments, especially automated MLOps platforms designed to power emerging “AI factories”: environments purpose-built for continuous model development, deployment, and monitoring. We’ll examine how container-native infrastructure, GPU-aware scheduling, checkpointing, and open-source tooling enable reproducible, resilient AI pipelines in multi-tenant settings and adjacent topics.
Organizers:
Format
on-site
Targeted Audience
System administrators, research software engineers, AI/ML engineers targeting HPC systems, workflow experts, educators teaching HPC/AI, and industry practitioners.
Beginner Level
30%
Intermediate Level
50%
Advanced Level
20%
Speakers

Christian Kniep
Principle ArchitectQNIB Solutions
Barbara Krašovec
HPC System EngineerJozef Stefan Institute
Alfio Lazzaro
Senior Research EngineerHPE
Abdulrahman Azab
Senior Advisor - Digitalisation and Service Development of Research DataSigma2
Adrian Reber
EngineerRed HatCJN
C. J. Newburn
Distinguished EngineerNVIDIAkks
krishna kant singh
ResearcherForschungszentrum Jülich
Alberto Madonna
Senior Software EngineerETH Zurich/Swiss National Supercomputing Centre
Carlos Eduardo Arango Gutierrez
Senior Systems Software EngineerNVIDIASS
Sergei Shudler
Senior Research EngineerHPE