Hello OpenNebula Community ![]()
We’re excited to introduce OpenNebula’s AI Factory Deployment Blueprints—a practical guide to deploying scalable, GPU-optimized infrastructure, whether on-premises or in the cloud.
As enterprises scale AI workloads, traditional infrastructure can quickly become a bottleneck. That’s why we’re kicking off a new deep-dive series to help you architect and manage your own high-performance AI infrastructure.
Check out the full guide here: https://opennebula.io/blog/product/ai-factories-onedeploy/
Stay tuned for the upcoming series of these blog posts—we’ll dive deeper into building your AI Factory!
We want to hear from YOU!
OpenNebula is a community-driven platform, and we want to tailor our upcoming deep dives to your real-world challenges.
Tell us in the comments:
- What is your #1 “pain point” when deploying AI workloads right now? (Storage speeds? GPU passthrough? Orchestration?)
- Are you primarily looking at On-Prem, Edge, or Hybrid setups for your AI Factory?
We’ll be monitoring this thread and using your feedback to shape the next posts in this series ![]()
