1. Google’s Compute Engine: In 2013, Google launched its Compute Engine, a cloud-based service that allows users to run virtual machines on the company’s infrastructure. One of the key features of the Compute Engine is its ability to scale up or down based on demand, making it a popular choice for businesses that experience fluctuating levels of traffic.
2. Amazon Web Services: Amazon’s Compute Engine, known as Amazon Web Services (AWS), is one of the most popular cloud computing platforms on the market. AWS offers a wide range of services, including computing, storage, and networking, and is used by a variety of companies, from startups to large enterprises.
3. Microsoft Azure: Microsoft Azure is another major player in the cloud computing space, offering a range of services including computing, storage, and networking. In addition to its Compute Engine, Azure also offers a range of tools and services for developers, including machine learning and analytics.
4. IBM Cloud: IBM Cloud is a cloud computing platform that offers a range of services including computing, storage, and networking. The platform also includes a number of tools and services for developers, such as AI and data analytics.
5. Oracle Cloud Infrastructure: Oracle Cloud Infrastructure is a cloud computing platform that offers a range of services including computing, storage, and networking. The platform is designed to support a wide range of applications and workloads, including those that require high performance and reliability.
6. Google’s Quantum Computing Engine: In 2018, Google announced the development of its Quantum Computing Engine, a cloud-based service that allows users to access the company’s quantum computers via the cloud. Quantum computers are powerful machines that are capable of solving complex problems that are beyond the capabilities of traditional computers.
7. Amazon Braket: In 2019, Amazon announced the launch of Amazon Braket, a cloud-based service that allows users to access quantum computers from companies like D-Wave, IonQ, and Rigetti. Amazon Braket aims to make it easier for developers and researchers to experiment with quantum computers and explore their potential applications.
8. Microsoft’s Quantum Development Kit: In 2018, Microsoft released its Quantum Development Kit, a set of tools and libraries that allows developers to create quantum algorithms and test them on classical computers. The kit also includes a simulator that allows developers to test their algorithms on a quantum computer.
9. Google’s Tensor Processing Units: In 2016, Google announced the development of its Tensor Processing Units (TPUs), a specialized type of hardware designed specifically for machine learning tasks. TPUs are used to speed up the training of machine learning models and are an integral part of Google’s Compute Engine.
10. Amazon’s Inferentia: In 2018, Amazon announced the development of Inferentia, a custom chip designed specifically for machine learning tasks. Inferentia is used to speed up the training of machine learning models on Amazon Web Services and is an important part of the company’s cloud computing platform.
In conclusion, compute engines play a crucial role in the field of cloud computing, offering a range of services and tools that allow businesses and developers to run a wide variety of applications and workloads. The top 10 stories in this field include the launch of Google’s Compute Engine and Quantum Computing Engine, the popularity of Amazon Web Services and its Quantum Braket service, the development of Microsoft Azure and its Quantum Development Kit, and the introduction of specialized hardware such as Google’s Tensor Processing Units and Amazon’s Inferentia. These innovations are helping to drive the growth of cloud computing and are shaping the future of computing.
