What is Hyperscale Data centers

In traditional Data centers or in-house data centers, we provisioned the Space, rack, server, network, and Sizing based on current requirements with some future requirements and it worked as well because, at that time we didn’t have much data to share or store. Only Critical application backup, Limited Internet access to limited users as well. But In today’s digital era, data has become the lifeline of businesses and organizations across the globe to provide 24×7 support and keep themselves updated every minute.

With the exponential growth in data generation and consumption, traditional data centers have proven inadequate to meet the growing demands of the digital economy.

If we take the example of Mobile Phones, initially we had normal keypad Phones, then smartphones with less memory, but now we have Mobiles with 128, and 256 GB storage which is not sufficient after a few months. Same with Laptops. People are always looking for additional space on other platforms Ex. Cloud.

This is where Hyperscale data centers step in. These data centers are large, state-of-the-art facilities designed to accommodate the tremendous amount of data processing and storage requirements of modern applications, cloud services, and internet platforms.

Table of Contents

Why Hyperscale

Supporting Digital Transformation: India is on the way to Digital India. Now people are using digital services on a very big scale. During Covid time, when people were not able to go outside or to Banks and everybody was focusing on contactless payment, at that time online payment, UPI, GPay, phonePey, and other platforms played an important role. To control that many transactions, data, payment Gateways, security, and other things a big level of data center setup is required to handle all such requirements.

Cloud Services: Cloud Service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud rely on hyperscale data centers to deliver a wide range of services, from infrastructure as a service (IaaS) to platform as a service (PaaS) and software as a service (SaaS).

Big Data and Analytics: These data centers are fundamental to the field of big data and analytics, supporting the storage and processing of enormous data for analysis and decision-making.

E-commerce and social media: E-commerce is the new way of trading or business, and such sites get billions of user requests, traffic, and searches for their products or services like Amazon, Facebook, and YouTube. To handle such requests huge setups of data centers are required.

Artificial Intelligence and Machine Learning: The training and deployment of AI and ML models require significant computational power, which data centers provide efficiently.

Massive Data Growth: These data centers are equipped to manage massive data growth as per requirement very efficiently.

Global Reach: These data centers are strategically designed and located to provide services to a global audience.

Efficiency and Cost Savings: Hyperscale data centers are designed for energy efficiency and cost savings.

Scalability: It provides the power to expand the network Racks, server, and requirements at any time and ready-to-use setup.

Redundancy and Reliability: Redundancy is built into the core of Hyperscale data centers, ensuring high availability and minimizing the risk of downtime. Their robust infrastructure is designed for fault tolerance.

Security: These data centers are built to handle heavy traffic, transactions, highly confidential traffic, legal, government, and so on which require a high level of security and encryption and they are investing heavily in security measures to protect the vast amounts of data they store and process.

Ready for RnD. These data centers ‘ infrastructure is designed in that way for ready to adopt any technology can do any Research and development.

Infrastructure Requirement to Build a Hyperscale Datacenters

Minimum Area: 10,000 sqm,

Power: Average of 25+ MW.

Min Server Size: 5,000 servers

Power Usage Effectiveness (PUE) metrics: Between 1.67-1.8. A PUE of 1.0 means perfect efficiency.

Multistory Building: The building should be Scalable and Multistory to cater to all future expenses and requirements.

Seismic structures: The Data Center Building should be Earth-Quake Prone.

Power Redundancy: Hyperscale data centers should have power redundancy to maintain device uptime.

Cooling System: Such data centers require maintained cooling and Ventilation systems to make network devices or servers healthy.

Other Security Parameters: These data centers should have an exit plan in case of Fire.

Physical Security: Should have proper Surveillance cameras, Entry-Exit records, Parking systems etc.

Key Features of Hyperscale Data Centers

Scalability: These data centers are scalable enough to cater to any future requirement quickly and easily to adding more servers, storage, and networking infrastructure.

Redundancy and Resilience: These data centers are committed very high level of Redundancy in terms of Power, rack, Server, network devices, and services and reduce the downtime for critical applications and services.

Energy Efficiency: Energy consumption is a significant concern for data centers. Facilities are engineered for energy efficiency, utilizing advanced cooling systems, renewable energy sources, and power management techniques to reduce their carbon footprint.

Modular Architecture: Generally have multi-story buildings for increased Racks for any future expansion.

Advanced Networking: They are equipped with cutting-edge networking technologies to ensure low-latency, high-speed data transfer and communication.