Archives for edge computing - Page 3
Why NVIDIA Acquired ARM
“An astounding 180 billion computers have been built with Arm — 22 billion last year alone. Arm has become the most popular CPU in the world.” Jensen Huang, Founder, NVIDIA NVIDIA today announced that it would acquire Arm Limited from SBG and the SoftBank Vision Fund in a transaction valued at $40 billion. According to…
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Why NVIDIA Acquired ARM
“An astounding 180 billion computers have been built with Arm — 22 billion last year alone. Arm has become the most popular CPU in the world.” Jensen Huang, Founder, NVIDIA NVIDIA today announced that it would acquire Arm Limited from SBG and the SoftBank Vision Fund in a transaction valued at $40 billion. According to…
The post Why NVIDIA Acquired ARM appeared first on Analytics India Magazine.
Once the basis of storylines for science fiction movies, Artificial Intelligence (AI) now has useful applications that are transforming the way businesses are conducted. Developers are examining ways to merge AI with everyday devices to help companies run businesses. In this scenario, cloud computing plays a significant role in making the best decisions possible. A…
The post Edge Vs Cloud: Which Is Better For Data Analytics appeared first on Analytics India Magazine.
According to Cisco’s forecast, there will be 850 ZB of data generated by mobile users and IoT devices by 2021. With a surge in data, challenges like latency will emerge. And, if one has to derive intelligence from algorithms in real-time, the traditional systems cannot be trusted for long. Thanks to the efforts of top…
The post Top 10 Hottest Edge Computing Products In The market Right Now appeared first on Analytics India Magazine.
With the continuous adoption of cloud computing, mobile network, big data, and SDNs, the number of internet users has exploded. To catch up to the fast-changing trends with wireless connectivity and the internet, companies have strived to have more cloud adoption for different business operations. Cloud computing for years has offered a secure and controlled…
The post Will Edge Computing Replace Cloud Computing? appeared first on Analytics India Magazine.
SASE, made popular by Gartner’s model, has significantly improved the network security where the user’s location and time are no longer relevant. Secure Access Service Edge (SASE) is a security framework for enabling fast and secure cloud adoption. It ensures that users and devices have secure cloud access to applications, services, and data, anywhere and…
The post What Is SASE And What Are Its Benefits appeared first on Analytics India Magazine.
When edge computing is merged with machine learning, we get edge intelligence. As the name suggests, it is a domain that deals with leveraging intelligence/insights acquired through data at a local level. According to Cisco’s forecast, there will be 850 ZB of data generated by mobile users and IoT devices by 2021. With increasing volume,…
The post A Beginner’s Guide To Edge Intelligence appeared first on Analytics India Magazine.
When edge computing is merged with machine learning, we get edge intelligence. As the name suggests, it is a domain that deals with leveraging intelligence/insights acquired through data at a local level. According to Cisco’s forecast, there will be 850 ZB of data generated by mobile users and IoT devices by 2021. With increasing volume,…
The post A Beginner’s Guide To Edge Intelligence appeared first on Analytics India Magazine.
Edge computing, although not a new concept, is still largely at its nascent stage, and aims to break the traditional cloud computing boundaries. The idea of edge computing is simple. The idea is to bring the processing and storage capabilities closer to where it is needed, which will further expedite the entire process and make…
The post Top Edge Computing Companies Of 2020 appeared first on Analytics India Magazine.
There is a growing interest in expanding the scope of edge ML to microcontroller-class devices. And, this is where TinyML comes into the picture. As the name suggests, TinyML is intended for developing low power consuming devices that can run machine learning models. Tiny machine learning applications include hardware (dedicated integrated circuits), algorithms and software […]
The post What Are The Challenges Of Establishing A TinyML Ecosystem appeared first on Analytics India Magazine.