Hyperscalers

Extracted Attributes

• Purpose

  To build robust and scalable cloud, big data, MapReduce, or distributed storage systems, and to run large distributed sites.

• Definition

  The ability of an architecture to scale appropriately as increased demand is added to the system.

• Impact of AI

  The AI ecosystem drives significant demand for hyperscale infrastructure, leading to multi-trillion dollar buildouts and increased energy consumption for AI.

• Core Function

  Build and operate massive data centers to support large-scale cloud computing and data management.

• Client Benefit

  Allow clients to experiment, build, innovate, and run any type of application while managing costs and working with agility, freeing developers from infrastructure management.

• Key Capability

  Seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes.

• Infrastructure Type

  Extensive infrastructure, often referred to as 'AI factories' in the context of AI.

• Operational Characteristic

  Hyperscale data centers provide consistent automation for managing production and high-traffic volume websites.

Timeline

• Oracle became the first hyperscaler to hold two cloud regions in Chile, aiming to strengthen business continuity for organizations. (Source: Web Search Results)

  2023-12-01

• Between June 2023 and June 2024, over 2,700 new customer case studies were published by the top 5 global hyperscalers, with 608 (22%) of them utilizing a cloud AI service. (Source: Web Search Results)

  2023-06-01

Hyperscale computing

In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment. Hyperscale computing is necessary in order to build a robust and scalable cloud, big data, map reduce, or distributed storage system and is often associated with the infrastructure required to run large distributed sites such as Google, Facebook, Twitter, Amazon, Microsoft, IBM Cloud or Oracle Cloud. Companies like Ericsson, AMD, and Intel provide hyperscale infrastructure kits for IT service providers. Companies like Scaleway, Switch, Alibaba, IBM, QTS, Neysa, Digital Realty Trust, Equinix, Oracle, Meta, Amazon Web Services, SAP, Microsoft and Google build data centers for hyperscale computing. Such companies are sometimes called "hyperscalers." They are recognized for their massive scale in cloud computing and data management, operating in environments that require extensive infrastructure to accommodate large-scale data processing and storage.

Web Search Results

• What Is a Hyperscale Data Center? Definition & Architecture - Fortinet

  Hyperscalers are the large cloud computing and cloud service providers that drive the growth of big data and cloud computing. These organizations, such as Amazon, Facebook, Google, and Microsoft, have a global scale, expertise, and innovation that take cloud services and value to the next level. Therefore, it is crucial for organizations that have ambitions to grow to invest with these hyperscalers as business partners and suppliers. [...] A hyperscale data-center provides consistent automation, which helps organizations manage all aspects of production. This includes managing high-traffic volume websites and advanced workloads that demand specialized processing, such as cryptography, genome processing, and three-dimensional rendering. #### What Are Hyperscalers in Hyperscale Infrastructure? [...] Hyperscale describes a system or technology architecture’s ability to scale as demand for resources gets added to it. Hyperscale computing meets organizations’ growing data demands and adds extra resources to large, distributed computing networks without requiring additional cooling, electrical power, or physical space.

• What is a hyperscaler? - Red Hat

  By providing access to a ready-made, scalable infrastructure, hyperscalers allow their clients the ability to experiment, build, innovate, and run any type of application, from a social network to a smart city to online banking, all while managing costs and working with agility. In addition, outsourcing infrastructure management frees developers to focus on building applications and gives operations teams more time to focus on innovation rather than maintenance. [...] Hyperscalers get their name from hyperscale computing, a method of processing data that allows for software architecture to scale and grow as increased demand is added to the system. [...] Hyperscalers provide cloud computing and data management services to organizations that require vast infrastructure for large-scale data processing and storage. While there is no universal standard for what should be classified as a hyperscaler, major cloud providers such as Amazon Web Services, Google Cloud, Microsoft Azure, IBM Cloud, and Alibaba Cloud fit the description. ## What is a hyperscaler?

• Top 10: Hyperscalers | Data Centre Magazine

  Data use is exploding, causing data centre companies to face increasing levels of pressure from customers to meet increased demand. With that, comes hyperscalers. Hyperscale data centres are larger facilities built by companies with immense data processing and storage needs. These firms either make their income directly from the applications or websites its equipment supports, or sell technology management services to third parties. [...] In December 2023, Oracle became the first hyperscaler to hold two cloud regions in Chile, aiming to help organisations across all industries strengthen business continuity. _Headquarters: Austin, Texas_ _Employees: 164,000_ _CEO: Safra Catz_ _Founded: 1977_ 9. Tencent ---------- Tencent [...] In addition to its technology breakthroughs in AI and quantum computing, IBM is a hyperscaler that boasts an evolving partner and product ecosystem for multi-cloud capabilities. Its data centre services are designed to help businesses enhance their digital transformation strategies and become more resilient.

• Who is winning the cloud AI race? Microsoft vs. AWS vs. Google

  Note: Given the small share of cloud AI projects for Oracle and Alibaba, the focus of this article will be on the top three hyperscalers in this regard. Market shares do not add up to 100% as the report focuses on the top five vendors. [...] A fifth of cloud implementations now have an AI element.The 188-page Global Cloud Projects Report and Database 2024 (published October 2024) shows that between June 2023 and June 2024, over 2,700 new customer case studies were published by the top 5 global hyperscalers, 608 of which use a cloud AI service (22%). The report analyzes over 8,300 customer implementations of the largest cloud vendors of recent years (including deep dives on AI and IoT cloud projects). [...] Google has the highest share of AI customers.Google, which has traditionally been popular with smaller-sized companies, also has its own strength in the cloud AI race. When looking at new case studies for each vendor, Google had the largest share of cloud AI case studies relative to its overall new case study count. 36% of Google’s new public cloud case studies make use of a cloud AI product, implying that AI is a bigger driver for Google Cloud than it is for any of the other hyperscalers.

• Top Cloud Providers in 2024 - Hyperscalers and Alternative vendors

  A Cloud Service Provider (CSP) is a company that offers a variety of cloud computing services to businesses and individuals over the internet. These services include computing power, storage, networking, databases, and other infrastructure elements, all hosted in data centers managed by the CSP. By leveraging a cloud providcer, users can access and scale these resources on-demand without having to manage or maintain the physical hardware themselves. [...] ### 1. Amazon Web Services (AWS) [...] general-purpose virtual machines for broader computing requirements. Their storage solutions include high-performance block storage and scalable object storage, supporting data-intensive applications.