The "AI and OpenStack for Resilient Infrastructure" slide deck accompanies the presentation of the same title delivered by Avani Rampersad. This presentation dives into the symbiotic relationship between artificial intelligence (AI) and OpenStack, highlighting their combined potential to create more resilient, efficient, and adaptive infrastructure solutions. As Cloud & FinOps Product Manager at OpenMetal, Avani Rampersad shares her extensive knowledge and insights on leveraging AI to enhance the capabilities of OpenStack.

1. Embracing AI Transformation:
OpenStack Projects and Open Source
Tools for Resilient Infrastructure
OpenMetal.io
Avani Rampersad
Cloud & FinOps Product Manager

2. User friendly AI that everyone can use such as Gemini
and Chat GPT has AI on the tip of everyone’s tongue.
OpenStack x AI

3. ● Compute Resources
● Memory
● Storage
● Networking
● Software Framework and Libraries
Resource Needed For AI Workloads

4. How do OpenStack projects meet the needs of AI workloads?
OpenStack & AI
Scalability & Flexibility

5. What OpenStack projects are key for cloud computing
infrastructure designed to host AI workloads?
OpenStack & AI
❖ Nova
❖ Neutron
❖ Cinder
❖ Swift
❖ Heat

6. OpenMetal.io
Nova for AI
● Compute
● Memory

7. OpenMetal.io
Neutron for AI
● Networking

8. OpenMetal.io
Swift for AI
● Object Storage

9. OpenMetal.io
Cinder for AI
● Block Storage

10. OpenMetal.io
Heat for AI
● Automation

11. Additional Resources for AI ….
● TensorFlow
● PyTorch
● Jupyter
● Apache Spark

12. Additional Resources for AI ….
TensorFlow is an open source software
library developed by Google for building
and training machine learning models.

13. Additional Resources for AI ….
PyTorch is another open source
machine learning library that’s
becoming increasingly popular in AI
applications,

14. Additional Resources for AI ….
Jupyter is an open source web
application that allows you to create
and share documents that contain live
code, equations, visualizations, and
narrative text.

15. Additional Resources for AI ….
Apache Spark is an open source
distributed computing system.

16. Containerized Workloads
Key Benefits of K8s for AI:
● Isolation & Portability
● Scalability
● Resource Utilization
● High Availability and Fault Tolerance
● Service Discover and Load Balancing
● Infrastructure Flexibility

17. Ceph Storage
Key Benefits of Ceph for AI:
● Scalability
● Redundancy & Reliability
● Flexibility
● Performance
● Integration with AI frameworks

18. Who is using OpenStack for AI workloads?
Nvidia uses OpenStack Swift
Storage as part of their cutting
edge AI and ML data management.

19. Who is using OpenStack for AI workloads?
RedHat uses OpenStack to support the training
of their ML programs.
● Spark allows for scalable data
processing,
● Sahara streamlines data access and
cluster management.

20. Who is using OpenStack for AI workloads?
Pypestream a self-service automation platform
that transforms how businesses engage and
empower their customers uses OpenMetal’s
OpenStack deployment

21. Pypestream open source infrastructure
Pypestream had OpenMetal build and deploy a cloud for
their DevOps infrastructure that included:
● A private Cloud Core
● A Ceph network distributed storage cluster.
● OpenStack API integrations

22. Key Open Source Advantages:
● Scalability
● Flexibility
● Cost Effectiveness
● Storage Options

23. Test OpenStack with OpenMetal
https://openmetal.io/free-trial/

24. Contact Me
Social: Avani Rampersad
Email: avir@openmetal.io
Website: OpenMetal.io