The more digital the world becomes; the more pressure is put on data centers to perform efficiently. Hyperscalers are the driving force behind the rapid growth and innovation in the data center industry. It matches the increasing demands for computing power.
In this article, Panchaea Founder Pete Overell explains the role of hyperscale data centers and how they might evolve in the future.
High-performance servers are critical for modern data centers, with select servers optimised specifically for operations. In this blog, Panchaea’s experts highlight their favourite energy-efficient servers and share best practices for selecting the right server for your workload.
What is a hyperscaler?
Hyperscale data centers typically house over 5,000 servers and stretch over 10,000 square feet. They operate at an immense scale. They leverage vast amounts of computing resources to deliver cloud services on a global level.
As massive as these facilities are, the corporate entities behind them are even bigger. They include industry titans like Amazon, Google, and Microsoft. Hyperscalers are the backbone of this digital era. In the last five years, the number of hyperscale data centers has doubled to 700 globally.
Hyperscale computing has witnessed exponential growth. Expanding global data center infrastructure aims to meet the escalating demands of digital transformation and the Internet of Things (IoT).
As businesses migrate to the cloud and embrace data-intensive technologies, hyperscalers are strategically positioning data centers in key regions. This strategy ensures low-latency access so that we’re rarely offline.
The future of hyperscale data centers
Data centers won’t reach a million square feet
Traditionally, data centers have scaled linearly, but the future presents a paradigm shift. Industry leaders are exploring distributed hyperscale architectures to enhance their scalability and resource efficiency. After all, data centers can only get ‘physically’ bigger by so much – 10,000 square feet is by no means a small-scale facility.
The solution that’s already being embraced to meet the hefty demands of generative AI is to spread resources across a network of facilities. By gearing towards more distributed architectures, data centers will have a more flexible ability to scale through hosting solutions.
Growing greener data centers
Size is just one part of a rapidly evolving hyperscale landscape. Tomorrow’s data centers need to develop with sustainability at the forefront – and not just for the planet. 2023 has been a year of increased regulations for the industry. This includes several European countries cracking down on inefficient, energy-guzzling data centers. Germany, for instance, passed legislation on the Energy Efficiency Act.
If the industry continues growing to meet the demands of the digital world, it must do so with greener infrastructures. Edge computing, improved energy efficiency, and increased automation will redefine the capabilities of hyperscale facilities.
Big data centers generate a lot of heat. As we gear up for the next step for hyperscale, addressing power and cooling demands is critical.
In recent years, there have been many innovations in power-efficient hardware and advanced cooling technologies. But that isn‘t all that‘s needed. A commitment to renewable energy sources will play a crucial role. Striking a balance between performance and sustainability will define the success of future hyperscale facilities.
The power of small data centers
So, how will hyperscale facilities keep up with the demands of AI, edge computing and more in both the short and long term?
Small data centres will enable large-scale facilities to remain agile and flexible. By forming partnerships with a network of enterprise data centers across a cloud network, organisations can supply growing consumer demand for compute and storage.
Why must data be as close to the customer as possible? Three things are driving demand:
- The growing prevalence of latency-sensitive digital devices
- The need for distributed computing for near-real-time analytics
- The compliance with data governance regulations
Unfortunately, there aren’t many spaces in central city locations for hyperscale facilities. This demand is steering the industry towards smaller, distributed data centres. Utilising these smaller facilities will allow organisations to scale up and down their server usage flexibly rather than sit on idle computing during quieter periods.
Your one-stop solution for AI workloads
Hyperscale facilities can cope with AI for now, but the compute demands are skyrocketing. Data centers need access to hardware and hosting solutions to meet these demands – that’s where Panchaea comes in.
Through our extensive partner network, we provide data centers with a range of hosting solutions based in Scandinavia. Our partners offer secure hosting for our customers’ data center hardware, which, in addition to our range of data center GPUs and servers, provides a full-stack solution for tackling the heavy workloads of AI.
Contact our team today to learn more about our complete data center solutions.