The data center is fast moving from a place to store the business data towards where the data is analyzed gain insights from it. The analysis is increasingly being improved by the Artificial Intelligence technology algorithms combined with deep learning methods that offer unique solutions to data challenges.  Getting insights directly from the storage solutions can save time and extra cost of developing the technology, it has become common with the big cloud providers, but eventually, all enterprises will need to design their data centers with supercomputers like architecture.

Graphics Processing Unit maker, Nvidia announced recently that they would be moving in towards acquiring the Mellanox for $6.9 billion beating all the major competitors in the race. Mellanox, an international supplier of computer networking products developing InfiniBand and Ethernet technology.  Currently, both are the technology expert that can solve the analytics environment barrier, between two of them powering close to 250 of the largest computer in the world. If we see Moore’s law a prediction that the number of transistors grows by twice the number in every year or two years, this meant processors speeds also jumped accordingly. But over the past few years, we have slowed down in both the sectors, with CPU speed increasing marginally. The increasing computing requirements with new innovative technology are causing the traditional CPUs to fall behind.

The failure of CPU has led to the deployment of GPUs as a well-known mainstream technology for data centers. GPUs are powerful in the parallel processing, and with adding further capabilities of AI and ML, Nvidia can provide the technology that wasn’t available before. The other major shift we are seeing is the containerization of applications that make them demand multiple servers for functioning. Mellanox the company has pioneered in InfiniBand, as it excels in sever interconnects. Mellanox also offers high-speed internet products for customers that are trying to combine the disparate data centers.