Global AI Infrastructure Market: Overview
AI Infrastructure involves the use of deep learning machine technology which allows a machine to develop a hierarchical structure. For example, the first layer of an image can be scanned for basic edges. It is then followed by a layer that gathers the edge forming shapes and finally a layer that can recognize the machine parts. After scanning hundreds of such layers to recognize the needed information, the neural network of the machine can then convert the features into an algorithm, which then is used to recognize the image.
AI infrastructure allows to consistently manage data. This data acts as a training module in deep machine learning technology. The platform learns from multiple sources and develops a consolidated data environment. The increasing use of industrial IoT, robotics, and big data across domains is fueling the growth of the global AI infrastructure market.
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Global AI Infrastructure Market: Notable Developments
Some of the notable developments in the global AI infrastructure market are given below:
- In the month of March 2019, Micron Technology announced the launch of Micron 2200 PCle NVMe SSDs. These drives have capacities range of 256 GB to 1 TB in a form factor of M.2 22×80 mm. This new series of SSDs have increased bandwidths and lesser latency period.
- In April 2019, Xilinx announced the launch of Alveo, a product series of highly powerful accelerator cards. These cards are designed with an aim to considerable raise the performance in the servers across the on-site and cloud data centers. With the help of Alveo, customers can get an enhanced performance at a lower latency when operating on critical data center applications such as data analytics, video processing, genomics, and machine learning interference among others.
- In February 2019, IBM launched a new set of IoT solutions. The solutions team up advanced analytics and AI to aid asset-intensive companies to improve their maintenance strategies. The IoT solutions are designed with an aim to help companies to cut down the costs and risk of failure from assets such as turbines, vehicles, manufacturing robots, and mining equipment among others.
Some of the key players in the global AI infrastructure market include names such as Amazon Web Services, Nvidia Corporation, IBM, Google, and Microsoft among others.
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