A limitless growth mindset is baked into the business world these days, thanks in part to the runaway proliferation of data. We’re on our way to making hundreds of zettabytes of data every day. The almost unfathomable increase has prompted more enterprises to prepare their infrastructure to scale with enormous and unexpected jumps in information—and hyperscale computing is a major part of the solution.
Using hyperscale cloud storage allows organizations to manage a growing amount of computational work distributed across thousands of servers in numerous facilities. What does that mean in practice for your organization? Here’s what business leaders need to know.
The Benefits of Hyperscale Computing
Since hyperscale storage uses a network of varied servers to grow computational power on demand, the upper limit of workloads this technology can handle is immense. In fact, organizations that implement hyperscaling can achieve the following:
Higher Performance
Digital workloads are increasing in complexity and often involve large transfers of information that traditional cloud architecture struggles to process. The parallel processing across a scalable collection of servers increases speed, enhances responsiveness, and reduces extended downtime.
Redundancy
Too much lag can undermine your server performance. Organizations that rely on streaming data, real-time insights, or even just transferring large data packets between servers can often experience bandwidth lags under traditional cloud options. The multitude of machines used in hyperscale computing reduces latency to imperceptible amounts by opening up traffic to a myriad of different routes, preventing bandwidth bottlenecks that limit responsiveness and up-the-minute intelligence.
Cost-Effectiveness
The ability to grow or shrink computational power is nothing new, but the magnitude of scalability that is possible through hyperscale computing is phenomenal. Artificial intelligence and other high-demand processes use a taxing amount of bandwidth, which can escalate costs considerably if you rely on vertical scaling (increasing the power of a server’s computation or storage) alone. Hyperscale machines can take care of the same bandwidth for less. Plus, their facilities are often designed to optimize air flow and use liquid cooling to reduce overall cooling expenses too.
The Different Use Cases for Hyperscaling
Though there are clear benefits to hyperscale computing, this server architecture is not a remedy to every situation. Organizations in their startup phase (that don’t rely heavily on AI) or that are strictly running traditional data analysis are not at the maturity level needed to implement these systems. However, organizations with an ever-expanding stockpile of data or a growing roster of artificial intelligence applications can see immediate value from hyperscale options.
Let’s start by looking at the healthcare space, starting with connected health initiatives. Real-time data from wearables and healthcare apps can slow down traditional cloud servers, preventing care providers and consumers from getting the timely updates they need for their care decisions. Using hyperscale computing will not only help businesses to maintain accurate health diagnoses and updates at speed but enable other platforms to simultaneously run at full efficiency.
With the amount of hyper-personalization that is sweeping customer engagement strategies in the banking and financial services sector, hyperscale computing is almost mandatory. The stream of consumer data as well as the generative AI tools used to provide customers with tailored solutions on demand can overtax traditional private or public cloud solutions. Hyperscaling solutions allow institutions to offer answers, resolutions, and products at the speed of customers’ needs.
Across industries, there is also an opportunity to enhance cybersecurity responses. Organizations with a hyperscale architecture are better equipped to scale their analysis of attack behavior data as more hackers use artificial intelligence in their attack strategy. That way, leaders can proactively improve their ability to detect and prevent cyber threats as they occur.
The above examples only scratch the surface of what is possible with hyperscale computing. As more organizations move to adopt this technology, it’s important to dig into the quick wins which can justify hyperscale not only for your industry or function, but for your entire business.
What Role Does Your Data Play in Hyperscale Cloud Storage
As always, your computational power is only as good as the underlying data you are using. Even a Corvette engine will struggle and sputter out if you add contaminated gas into the tank. Your data warehouse or data lake are the same with low-quality data.
Before you make any transition to hyperscale computing solutions, you need to verify that your data management and data governance are up to the task. Collaborating with the right partner can help to create the appropriate data foundation for your organization as you scale.
Is your foundation ready to embrace hyperscale computing? Check out our data enablement solutions for guidance on how to maximize your performance, redundancy, and cost-effectiveness.
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