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AI Reshaping Future of Data Center Industry – Google Shows How?

AI Reshaping Future of Data Center Industry - Google Shows How?

In a move to expand its data center presence, Google is planning to build more data centers than ever in different markets globally.

In line with its announcement to spend USD 13 billion on data center capacity building, the internet giant has opened new data centers across different parts of the United States.

While the company has opened a few data centers in Northern Virginia and Tennessee, the new establishments in Ohio, Nevada, Nebraska, Mesa (Arizona), and Texas are in the offing.

Beyond the US, Google plans to expand its data center presence in Europe and invest USD 3.3 billion over the next two years. It is also planning 10 new projects to ensure renewable energy support for its servers.

Moreover, it is expanding its cloud computing centers in South Carolina, Oklahoma, and Finland.

Google Datacenter Capacity

Looking at the numbers, Google has 19 data center campuses globally, 11 in the US, 5 in Europe, 2 in Asia-Pacific, and 1 in South America.

The company spends more than USD 1 billion, sometimes exceeding even USD 2 billion, for building a data center campus.

“The impact of cloud computing is massive. We’re seeing massive, massive growth in our cloud lines of business. We’re also seeing a lot of growth in what used to be called SaaS. I really think the sky is the limit,” says Daniel Golding, Global Network Planning and Design Lead, Google.

On the other hand, as the sources say, Google is making every possible improvement to its existing data center operations, from processors to design.

Artificial Intelligence (AI) – Inclined Data Center Design

AI-Inclined Data Center Design

Meanwhile, the search engine giant is also making a strategic shift to ‘liquid cooling’ with its hardware for supporting AI, as the heat generated by its Tensor Processing Units (TPUs) crossed the limits of its existing data center cooling solutions.

“These chips are so powerful that for the first time, we’ve had to introduce liquid cooling in our data centers. We’ve put these chips in the form of giant pods. Each of these pods is now eight times more powerful than last year’s (TPUs), well over 100 petaflops,” Google CEO Sundar Pichai said in a statement.

Looking at the recent improvements, especially the adoption of liquid cooling, it’s evident that AIOps Solutions and its related hardware are clearly reshaping the future of the data center industry.

AI workloads make it imperative to expand computing power at the equipment level, resulting in practical power usage by servers and storage. This, in turn, challenges the traditional data center setup, calling for new-age data centers with modern strategy and design.

Eventually, Google’s best practices will most likely penetrate deeper into hyperscale data centers at the enterprise level.

All this directly means the new data center strategy is inclined towards an Artificial Intelligence (AI) ecosystem!

Are you in the race?


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