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Phoenix Group & Green Data City Plan Crypto Farm In Oman

The $300 million facility is expected to be fully operational by Q2 2024.

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phoenix group and green data city plan crypto farm in oman

Muscat-based Green Data City has teamed up with Abu Dhabi’s Phoenix Group to build a $300 million crypto farm facility in the Gulf state of Oman.

The 150-megawatt data farm will be one of the largest crypto-mining centers in the region and is expected to be fully operational by the second quarter of 2024.

green data city and phoenix group partnership oman crypto farm

Crypto-mining farms are large facilities filled with racks of PCs sporting high-end GPUs. They are designed to mine cryptocurrencies such as Bitcoin and Ethereum using a complex network of software and computers. The process involves solving intricate mathematical calculations to produce new digital currencies — something that requires massive computer resources and lots of electrical power.

Green Data City and the Phoenix Group chose Oman for their mining farm due to the long-term security of the license terms and the comparatively cooler weather in the country’s Dhofar region, which should help to reduce energy consumption.

The first development phase will output 200MW of mining power, while the second phase will reach 400MW, creating a hyperscale data center with downstream activities that will include renewable energy and hydrogen production, desalination, food production, and cosmetics.

Also Read: Help Scout Review: The Only Help Desk Software You’ll Ever Need

The developers will build the new facility in modular sections to reduce environmental impact and intend to install solar shades and employ specialized local technicians.

Oman’s economy is now on a solid footing as the Gulf country forges ahead with its economic diversification initiatives, backed by favorable oil prices and successful fiscal reforms during a time of stable inflation.

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How Motorsports Teams Use Big Data To Drive Innovation On The Racetrack

Discover how the best motorsports teams in the world use the vast volumes of data they generate to achieve an edge over the competition.

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how motorsports teams use big data to drive innovation on the racetrack

Motorsports — some may not view them as real sports, but nowhere else can you see man and machine working together in perfect harmony, pushing to the absolute limit of performance. While the best racing drivers in the world are battling it out on track, there’s another race going on behind the scenes: a battle of minds with some of the brightest engineers in the world working to extract every ounce of performance out of their machinery. Motorsports are as much a competition for the engineers and crew as it is for the drivers themselves.

At their very core, motorsports are all about finding an advantage over your competitors, however large or small, because every little bit counts. And the best way to gain a competitive edge over your rivals is to use data — tons and tons of it.

Using Data To Unlock On-Track Performance

Racing teams generate and analyze huge volumes of data per race; we’re talking tens of terabytes measuring every single aspect — even the most minute — of not only the vehicle’s performance but also the driver’s.

There are many different categories and classes of motorsports, ranging from road cars to purpose-built racing cars like in Formula One or bikes in the case of MotoGP. These two motorsports have the most popular championships in the world, but for simplicity’s sake, we’re going to stick with Formula One (F1), described as the very pinnacle of motorsports.

Teams collect data for three main reasons: to measure the vehicle’s performance on track, to measure the driver’s performance, and to help the engineers identify and understand key areas of improvement on the car.

F1 cars have thousands of sensors monitoring parameters such as tire temperature, brake temperatures, engine performance, component wear, and so on in real time (known as telemetry data). These teams can also use the data gathered, along with feedback they receive from the drivers, to make minor real-time adjustments to the car during the race, such as engine power settings. This telemetry, along with the weather information the teams gather, can also enable them to devise effective race strategies to decide exactly when to pit and change tires and what compound of tires to switch to, especially when weather conditions are unpredictable.

If this wasn’t impressive enough, the race engineers can also view the driver’s exact inputs: when they’re braking, accelerating, and turning into a corner, alongside a host of other information like heart rate and other biometric data. The engineers can then give them feedback on what is working and what isn’t, enabling the driver to adjust their approach to extract even more performance out of themselves and the car. It’s safe to say that in modern F1, even the cars are data-driven.

Data-Driven Development In The Factory

The petabytes of data gathered by racing teams on the track are then analyzed after the race to determine what areas of the car need improvement. Since F1 greatly restricts on-track testing, teams are forced to rely on incredibly complex simulations to develop the car. The more accurate data they use, the more accurate these simulations.

This data is also used by the team to develop F1 car simulators that are used by the drivers. These simulator rigs are much more accurate, complex, and unsurprisingly expensive compared to consumer simulator rigs. This simulator testing plays a major role in not only helping the engineers understand the characteristics of the car without having to perform on-track testing, but also in helping them set up the car for a race. Each track is different, and the car setup varies depending on the track and weather conditions during the race weekend.

Data Is King

In motorsports, every little advantage can make a difference. And with F1’s recently introduced budget cap, teams can no longer dump huge amounts of money to fix any issues with their cars, meaning data is now the most valuable currency in F1.

Big data analytics will only continue to play an increasingly prominent role in motorsports as has been the case since the early 80s. The most competitive teams are those that know how to effectively use the vast amounts of data at their disposal to drive innovation on the racetrack.

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