Komprise Business Value Analysis
Quantified Customer Storage and AI Savings
File data keeps growing, and so does the cost of keeping it across disparate storage silos. Most enterprise organizations store more than 5 petabytes of file data and an estimated 80% of it is cold. Meanwhile, SSD prices are 6.5X higher than a year ago thanks to memflation. At the same time, AI teams need unstructured data that is prepared and governed, and token and processing costs also continue to climb.
This paper quantifies what Komprise customers save by right-placing unstructured data. Cold data tiering cuts storage costs by 70% on average, and sending AI just the right data lowers token and storage costs. It includes real customer results and a framework for making the case to leadership.
What’s Inside:
- The pain and opportunity of unstructured data, and what Komprise delivers
- Who is impacted by rising IT infrastructure costs
- Komprise Intelligent Tiering in practice: customer cost savings examples
- Komprise use cases: reclaim primary capacity, and reduce AI token and storage costs
- Making the case to leadership for storage-independent unstructured data management
Read the paper to see how much you can save by tiering cold data off premium storage, and how to give AI the right data without vendor lock-in.