The multidimensional strategy enterprises need for AI and cloud workloads

Date:
Fri, 07 Mar 2025 08:25:16 +0000

Description:
Storage systems must scale beyond capacity and performance to meet the
complex demands of AI workloads and cloud-native applications.

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Lost among the hype of the AI tools and the cloud revolution, one critical question is being overlooked: how many dimensions can your storage system scale?

Most enterprise storage systems are designed to scale in at most two key dimensions capacity (how much data can be stored) and performance (how quickly data can be accessed). Driven by the complex, dynamic and unpredictable nature of AI workloads and cloud-native applications, theres been a dramatic shift in the demands placed on storage infrastructure.
Storage systems built for an earlier era are now being stretched and strained in ways their designers could never have anticipated. These unprecedented demands cant be met by simply adding sheer capacity or raw performance.

What does this mean for your organization? To keep pace with emerging workloads and unknown future requirements, your storage infrastructure must scale without tradeoffs in any dimension that might be conceivably
required. What is multidimensional scaling in data storage?

Weve observed an uptick in customers whove come to us after running into one or more limitations in their outdated, inflexible storage infrastructure.
This experience has helped us identify ten distinct dimensions that a storage system must be able to seamlessly scale in order to adapt to whatever the future might throw at it: Capacity Storage compute Applications Metadata S3 objects S3 buckets S3 authentications per second Throughput Objects per
second Systems management

The ability to scale across these ten dimensions can be referred to as multidimensional scaling.

Future-ready storage: three ways multidimensional scaling powers business growth Technical explanations of each of the ten dimensions can be found in our whitepaper. Instead, lets explore a few concrete examples of how multidimensional scaling can save your organization time, money, and headaches. 1. Have the flexibility to handle any future demand

The pace of technological change makes it nearly impossible to predict future storage requirements. Workloads that barely existed five years ago like generative AI and real-time analytics now dominate IT management
discussions. Businesses that commit to rigid storage architectures risk being unprepared for what comes next.

Multidimensional scaling equips organizations with the flexibility to adapt
to evolving requirements. Need to onboard a new AI data pipeline with microsecond latencies? Scaling access speeds ensures the infrastructure is ready. Launching a cloud-native application that spans geographies? Scaling authentication requests allows for secure, seamless global access.

This adaptability not only prevents expensive data migration but also
empowers businesses to innovate without being constrained by their storage infrastructure. 2. Eliminate storage silos for seamless operations

Data silos have long been the bane of IT teams. They fragment workflows, increase costs, and make it nearly impossible to gain a unified view of your data. With multidimensional scaling, businesses can consolidate their cloud storage into a single, unified platform that handles diverse workloads from massive AI datasets to high-frequency transactional data.

For example, scalable throughput ensures high-definition video streaming platforms can deliver seamless content playback to millions of users without requiring separate systems for ingesting and delivering media. Meanwhile, scaling the number of supported applications means businesses can run
multiple workloads from data analytics to machine learning on a single storage solution without bottlenecks. The result? A unified system that reduces complexity and operational overhead. 3. Minimize downtime through predictable scaling

Unplanned downtime is the enemy of productivity and customer satisfaction. Traditional storage systems, which often require manual intervention to
expand capacity or support increased traffic, introduce risk every time they hit a limit. Multidimensional scaling sidesteps this issue by ensuring
storage systems can grow seamlessly in all directions whether its handling higher transaction rates, supporting more simultaneous users, or
accommodating ever-growing datasets.

For example, consider an ecommerce platform during a peak shopping event like Black Friday. With the ability to scale in transactions per second, the platform avoids crippling bottlenecks, ensuring smooth and responsive experiences for millions of shoppers. Likewise, metadata scaling supports the explosion of individual product entries and customer profiles without degrading performance. By adopting a solution designed for such scenarios, businesses can keep operations running smoothly even under extreme demand.
The future of storage is multidimensional: Is your system ready to scale?

Storage may not always be in the spotlight, but its the foundation of a winning IT strategy. The ability to scale across all critical dimensions
turns storage from a reactive, operational necessity into a powerful driver
of growth. By eliminating silos, minimizing downtime, and future-proofing against uncertainty, businesses can unlock new opportunities and avoid the pitfalls of a rigid infrastructure.

The demands of AI, cloud computing, and media-rich workloads are accelerating
your storage must keep up. The organizations that adopt multidimensional scaling today will be the ones best equipped to thrive tomorrow and benefit from long-term sustainability.

So, how many dimensions can your storage system scale?

If you dont know the answer, its time to find out.

We've listed the best business cloud storage .

This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro



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Link to news story: https://www.techradar.com/pro/the-multidimensional-strategy-enterprises-need-f or-ai-and-cloud-workloads


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