Idea
Platform integrating HPC and cloud-native tech to deliver high-performance, accessible AI services for governments and research institutions
Research Paper
Core Innovation
This paper introduces a dual-stack architecture combining HPC supercomputers with cloud-native technologies like Kubernetes and object storage. This integration addresses HPC's usability limitations and cloud's performance constraints, enabling AI Factories to deliver both raw computational power and accessible AI services. It uniquely bridges the traditional divide between HPC and cloud computing for AI workloads.
Market Size (TAM)
$10–20B TAM for AI infrastructure platforms; $2–10B SAM from government and research HPC centers. Driven by Sovereign AI initiatives and demand for scalable AI services.
Potential Customers & Pain Points
- National Governments Building Sovereign AI Infrastructure
- HPC Centers Lacking Cloud-Native Usability
- AI Developers Needing Scalable Accessible AI Platforms
- Research Institutions Requiring High-Performance AI Computing
Business Model
Enterprise software licensing and managed AI infrastructure services targeting government and research HPC centers
Competitive Landscape
- NVIDIA DGX Cloud
- Google Cloud HPC
- Microsoft Azure HPC
Implementation Challenges
- Integration Complexity Between HPC and Cloud Stacks
- Adoption Resistance from Traditional HPC Users
- High Infrastructure Costs
Validation Strategy
- Develop prototype dual-stack HPC-cloud platform
- Pilot deployment with EuroHPC AI Factories
- Collect user feedback and performance metrics
Research Paper Overview
AI Factories: It's time to rethink the Cloud-HPC divide
Summary
The strategic importance of AI is driving governments to build AI Factories atop HPC supercomputers for technological autonomy. HPC excels in performance but lacks usability and cloud-native features familiar to AI practitioners. This paper proposes a dual-stack approach integrating HPC and cloud-native technologies to combine high performance with ease of use, bridging the divide and enabling robust AI services on supercomputers.