As organizations develop their AI strategies and design new AI solutions, figuring out where and how to store data for AI is crucial. Data storage decisions influence the performance, availability, cost and security of data. And the success of an AI project can depend on having the right data in the right place when you need it.
In part 1 of our guide to storage for AI, we covered the different types of storage needed across an AI workflow. In this blog post, we’ll discuss some best practices for choosing where to store your data for AI.
5 best practices for…
The post Guide to Storage for AI – Part 2: Where to Put Your AI Data appeared first on Interconnections - The Equinix Blog.
- Artificial Intelligence (AI)
- Cloud Adjacent Storage
- Global Business