Increasing AI data centers performance

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From traditional data centers to the existing ones on the cloud

Data centers are centralized locations where a company’s computing and networking equipment is concentrated. Their main purposes are collecting, storing, processing, distributing, or allowing access to large amounts of data.

These data warehousing centers are an integral part of a business. They are designed to support business applications and provide services such as warehousing, data retrieval, email, high-volume e-commerce, big data, machine learning, and artificial intelligence.

Cloud computing within the pandemic

The response of technology to difficult-to-predict situations such as the coronavirus has been cloud computing. This trend is expected to continue in 2021, as the world defines the “next normal”. Most companies will implement a mechanism to accelerate their shift to cloud-centric digital infrastructure and application services. All of this is adding an increased demand for data centers and cloud infrastructure – bigger, faster, available everywhere, and ready to scale.

New data management trends that organizations will have to care about in 2021 are the following:

Concern about data usage will increase

Society and people are increasingly aware of the importance and power of data, but we want companies to be responsible in their treatment. Hence, in 2021 we will see that a greater number of companies implement data ethics controls in software development. Developing within morality will be as important as being profitable.

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5G will adapt its networks mainly in emerging geographies

It’s easier to retrofit the 5G in new places than to have to revise an existing system. This means that regarding the installation of 5G infrastructures, emerging geographies will outperform conventional locations. Although our smartphones can support 5G, they are not operable without an adapted network.

Electric grids will evolve towards new energy sources

Solar energy, wind energy, and batteries are likely to be transformed into the largest sources of energy in the upcoming years. Users will start using community networks or even individual systems for their homes. This will bring new volumes of data to manage closer to the consumer.

The growing importance of machine learning

Machine learning will be vital for companies if they want to cover the enormous amount of existing data, as anticipated, there will be an exponential increase in such data.

Security will play a central role in the cloud

In the public cloud, which still works mostly with passwords, there is no clear answer as to who is responsible for security. In 2021, the data government will play a key role.

The pandemic forces us to predict the unpredictable

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The COVID 19 pandemic has taught us that we have to be able to predict unpredictable situations, as happened with the coronavirus that stopped economic activities in many sectors.

Chips, technologies that revolutionize data storage

Many operators will create self-made chips that they will use in data storage to processing large quantities of data.

Data warehouses typically host thousands of servers that process and run applications alongside high-performance computing (HPC) workloads. Processing and computational tasks are carried out by server processor chips that come in various forms. The most common are CPU, GPU, FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit).

Intel, AMD, Nvidia, Xilinx, and Infineon are some of the major server processor vendors that develop one or most of these types of chips.

We hope that you could learn something new about the new trends in data storage and the main innovations that digitization and cloud computing require to organizations. 

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