AI places different and often opposing demands on your storage infrastructure during the model lifecycle.
In this webinar, you’ll learn how:
- AI’s ‘I/O tax’ changes throughout the model workflow
- Portworx and PureStorage solutions enable you to manage the alternating IOPS-heavy nature of fast data reads and the massive write pressure of model checkpointing
- Portworx extends Kubernetes’ scheduler with topology awareness to match compute with storage
- Portworx relieves data scientists from low-level details of storage management
Join us to explore how Portworx can help you optimize your storage strategy for efficient AI workflows.
