Find Your Partner — Cloud Partner Finder

1. What is your primary infrastructure need?

Managed LLM API (inference as a service) Raw GPU compute General-purpose virtual machines Managed Kubernetes platform Storage & long-term archive Secure on-prem / classified environment

2. Which best describes your workload?

Inference only — running existing models Fine-tuning pre-trained models Heavy training from scratch General compute (services, pipelines, apps) Data management & storage workloads

3. How GPU-intensive is your workload?

No GPUs needed Occasional GPU use Sustained single-node GPU Multi-node GPU clusters

4. How sensitive is your data?

Public or openly shareable Internal business data GDPR-sensitive personal data Classified — requires air-gapped environment

5. What deployment model do you prefer?

Public cloud (shared, self-serve) Private / dedicated environment Hybrid — cloud plus on-prem Fully on-premises

6. How do you want to consume the platform?

Managed Kubernetes Plain virtual machines Fully managed API — no infrastructure Not sure yet

7. What are your storage needs?

Large object storage / long-term archive Block storage for VMs and databases Backup & disaster recovery Minimal storage needs

8. What does your usage pattern look like?

Steady production workloads Bursty experiments and spikes

9. Which sector do you belong to?

Academia / public sector (framework procurement, e.g. OCRE) Commercial / private sector