Hyperscale in Research and Industry

Hyperscale in Research and Industry


Hyperscale refers to the ability of a computing infrastructure to expand rapidly and efficiently in response to increasing demand. This concept is often associated with data centers and cloud computing platforms, where systems are designed to seamlessly scale out by adding more resources, such as servers, storage, and networking components, as needed.
Hyperscale data centers have become the backbone of many cloud service providers (CSPs). Companies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) leverage hyperscale computing to offer businesses and individuals affordable, on-demand computing resources.
 Hyperscale innovations currently being adopted by smaller organizations include software-defined networking (SDN), converged infrastructure and microsegmentation.

Hyperscale Computing 

Hyperscale computing pertains to the necessary infrastructure and provisioning within distributed computing environments, enabling efficient expansion from a limited number of servers to a multitude, often applied in contexts such as big data and cloud computing. The concept of hyperscale cloud computing revolves around the infrastructure’s ability to seamlessly and responsively adapt to growing demands. This hyperscale computing architecture is available in multiple forms, whether as a unified unit employing converged networking, a combination of network-attached and local storage, or as integrated management software in a compact form factor.

Hyperscale computing has also attracted the interest of enterprises, particularly large internet companies, such as Meta Platforms (Facebook). As big data, artificial intelligence (AI), and the Internet of Things (IoT) continues to grow, many hyperscalers are investing in scalable, flexible, and efficient hyperscale data centers

Key features of this architecture  are,

  1. Traditional, high-capacity storage networks are replaced by locally connected and network-attached storage solutions.
  2. Dedicated networks for computing, management, and storage are substituted with virtual LANs.
  3. Specialized network switching is supplanted by readily available, standard network components.

Hyperscale data center

A hyperscale data center is essentially the next level up — it can support thousands of servers and millions of VMs. An analyst report from The Business Research Company predicted that the global hyperscale data center market will grow from $35.72 billion in 2022 to $76.73 billion in 2027 at a compound annual growth rate of 16.5%.

LG’s hyperscale AI EXAONE 2.0

LG AI Research has unveiled EXAONE 2.0, a hyperscale artificial intelligence (AI) language model that can be used for expert applications in the development of new materials or medicines. Hyperscale AI refers to AI that thinks, learns, and makes decisions like human minds by learning large-scale data based on a computing infrastructure capable of large-scale computation.

Digital India

At the heart of this digital revolution lies a critical infrastructure: hyperscale data centres. These data powerhouses are propelling India’s technological landscape to new heights, shaping a soaring future led by data-driven innovation. The demand for data will only increase in the future, highlighting the demand for new data centres that provide effective data storage. The global hyperscale data centre market is anticipated to expand at a CAGR of over 9% from 2018 to 2024.


For decades, telemetry has been used to relay vital patient data to central monitoring stations. The IoT transforms telemetry from a hospital-centric practice dependent on continuous human monitoring into an untethered network that allows customized data to be analyzed and shared in real time. Advanced AI is the key to interpreting this information to determine if and when medical intervention is needed. 5G and hyperscale also improve transmission speeds and storage capacity for important diagnostic images like MRI and CAT scans with file sizes of up to 1 gigabyte.

The Future of Connected Health and Hyperscale

5G arrives at an opportune time to alleviate the performance constraints preventing breakthrough AR/VR, robotics, and wearables from fully redefining the healthcare industry. As these applications expand and evolve, the delicate balance between technology and human interaction will continue. Fully robotic surgeries or online consultations guided by advanced AI potentially improve patient outcomes, but not without the assistance of healthcare professionals assuaging the hesitancy of their patients. Hyperscale data centers will play a pivotal role by providing the intelligence to meld medical data and technology with human intuition and empathy.

Advanced Driver-Assistance Systems (ADAS)

An exciting ultra-reliable, low-latency communication (URLLC) 5G use case that is not always associated with the hyperscale ecosystem is Advanced Driver-Assistance Systems (ADAS). The hyperscale data centers anchoring 5G services from distant locations are not as visible, but they still provide essential artificial intelligence (AI) rules, software updates, and big data storage to make ADAS possible. ADAS is poised to become the largest IoT use case and automotive data is expected to reach zettascale proportions by 2028.

Industry 5.0 and Beyond

Throughout the history of factory automation, improved technology has led to higher levels of productivity, safety, and worker satisfaction, rather than the oft-predicted wholesale displacement of workers by machines. The electricity and computing power that marked previous transitions also led to skepticism. Much like the revolutions that preceded it, the melding of 5G, hyperscale computing, and factory automation will produce unlimited benefits and opportunities as efficiency soars and computers assume ownership of mundane and dangerous tasks. Hyperscale data centers will continue to enable this progression as computing power and big data storage foster the next big thing.

 some key benefits are,

  • Improved capacity, agility, and cost-effectiveness
  • Maximized cooling efficiency, leading to lower energy costs
  • More efficient workload balancing across servers
  • Less demand for physical space thanks to high-density storage racks

Hyperscale Data Center – The Future of IT Industry

Because of the pandemic, cloud adoption is happening at a much faster rate. Digital growth and acceleration are here to stay and grow. With the IT industry realizing the dynamism of what can be done with their data, they have started colocating to hyperscale data centers to aid better data management. These have become the top priority for businesses across the globe to handle their IT infrastructure requirements. Realizing the need for an efficient data center to reduce barriers for the customers, higher margins, data storage and management, higher security, and reliability, IT companies are moving towards hyperscale data centers. They have understood that the future for better growth opportunities comes with hyperscale data centers.