The trend of Intel FPGAs (Field Programmable Gate Arrays) continue to rise upwards on market charts. For a better impact, it teams up with Intel processors and leads to improving efficacy of processes right from cloud computing to edge letting everyone see how much data is capable of changing our world. In simple terms,
FPGAs are Swiss Army knives in semiconductors domains, the credits for this title goes to their multitasking capability. You can program these devices anytime event after the equipment has been deployed to the buyer. FPGAs are a perfect blend of memory, logic, and digital signal processing blocks capable of implementing any specific function with higher output in real time. This attribute makes FPGAs suitable for plethora of edge and critical cloud applications.
Fig.1 : Intel Solution And The Levyx Together Accelerate Backtesting Workloads
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The IoT will soon extend its reach to over 50 billion devices in next two years. Which means on an average, every human being will have 6 smart devices on this planet. It also means that every single person will consume 1.5 GB of data per day which means every single machine will produce 50 GB per day. It will allow extraction of business intelligence through storage, processing, and analysis of large amount of data in real time in a much more efficient manner.
Let’s understand it better with an example. Recently, Intel announced that the artificial intelligence module in Microsoft Azure will be powered by Intel FPGAs. The base of this one is Project Brainwave which is one of the principal architecture of Microsoft that would work for artificial intelligence in real-time. It is to be used in intelligent search made by Bing and is provided in Azure as well as the edge.
FPGAs are being adopted in cloud at an unprecedented scale since enterprises are now dealing with bigger amount of data. Similar paradigm shift has been noted for edge as well. A research suggests that most part of data from those 50 billion devices will be produced by machines by 2020. There are numerous companies that are collaborating among themselves to apply FPGAs in their edge applications. Canada’s National Research Council and Dahua’s case stories can be looked into for this purpose.
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