TAIPEI, TAIWAN, Jan. 31, 2020 – The data sources of smart cities collecting from all kinds of device deployed all over the city help decision makers to recognize clearly the scale of the city and its needs. However, with the increasing volume and complexity of data, many industries will move from the on-premise data center to the cloud platforms to decrease the cost.
However, the planning prophase of data center needs to understand the amount of data workloads to evaluate a suitable platform. For example, there will be problems for those clients with high demands on data transforming or with the instant, low-latency transition demand to use the cloud service, once the amount of data is too large, they will face problems such as the low efficiency and high cost for its charging by the use of time. Also, big data analysis for the government or special organizations will need to consider privacy so it is necessary to plan an on-premises data center.
WASAI provides a highly efficient solution, Big Data Accelerated Solution for data centers, using flexible design of FPGA framework to create the most suitable accelerated engine for big data analysis, helping data centers to reduce the cost of building up facilities and have the privacy for the database.
The developing points of smart cities are to use big data to process effective analysis. WASAI hopes to respond to the trend of future technology with a team of solid background knowledge to provide industries and government with high efficiency and low cost solution to help accelerating digital city transformation.
About WASAI Technology Inc.
WASAI Technology's mission is to deliver acceleration technologies of High-Performance Data Analysis (HPDA) in future data centers for targeted vertical applications with massive volumes and high velocities of scientific data. To strengthen and advance scientific discovery and technological research via big data-intensive acceleration in high-performance computing, WASAI Technology aims to improve commercialization and commoditization of scientific and technological applications.