A Smarter Solution
There are currently 8 million + global data centers, ranging from private server rooms in enterprise offices to Hyperscale Cloud Service Providers in custom built million sq. ft. warehouses. The amount of storage needed to keep up with demand, doubles every 22 months. By 2025 we will have saved approximately 175-200 Zettabytes (ZB) worth of files or 200 Trillion Gigabytes (GB). Yeah That’s not a typo it’s 200 Trillion.
Since 2012, DC’s have emitted more Greenhouse Gas than the entire global airline industry. Storing data files and more specific storing data in the cloud in Data Centers, has had a significant impact on climate change. The time to intervene and improve how we save information or just as important as what information needs to be saved, was years ago. But since we can not go back in time we must start immediately and extremely aggressively, to reduce the power consumption all this data is using.
To put it in perspective, in just the last 18 months alone there has been more data created and stored than in all of human history before it. By the end of 2018, there were an estimated 22 billion internet of things (IoT) connected devices in use around the world. As the sophistication of both hardware and software in the consumer electronics industry skyrockets, an increasing share of the electronic devices produced around the world are manufactured with internet connectivity. Forecasts suggest that by 2030 around 50 billion of these IoT devices will be in use around the world, creating a massive web of interconnected devices spanning everything from smartphones to kitchen appliances to self driving vehicles.
If the power consumption of all this data is currently a massive problem, in less than 10 years it will be completely unsurmountable. Estimates currently expect if not dealt with immediately, Data will use 20% of all the power produced worldwide by 2030. Basically eliminating any chance of controlling carbon emissions and reversing climate change forever.
Data centers (DCs) worldwide consume a huge amount of energy, and their usage increases year-over-year. Some factors involved in energy usage are its location, when built, type of equipment, facilities purpose, i.e. (Level I, II, III or IV), and size. The ability of each DC to upgrade to more efficient systems is based on those factors. Not all DCs are equal, nor are their operating budgets.
What DCs have in common is the great amount of power they consume. However, there is always room for efficiency upgrades in all of them, if the desire and financial ability exist. And of course, not only does this help the environment, it can also represent huge cost savings for the DC.
Data Center Power Usage
Where things stand in the data center sector
The Current Environment
On average we use no more than 5% of the information that is stored locally on our device’s. An eye-opening fact is no more than 2% of what is stored remotely or “in the Cloud” is used. There are two reasons the solution was developed. The amount of energy technology requires keeps increasing and there is a large amount inefficiency throughout the entire data storage process. For example, information maintained on storage devices always remains powered on. This means every storage device at data centers are drawing power 24/7/365.
Our process starts with the penetration test, which will identify any weak points in your network, as well as, locate any unmanned devices that are using power and taking away from network performance.
The next phase is applying our 30+1 file allocation model. Our model enables enterprises to place, store and recall files using less energy. Using business rules we make the network believe that some powered down devices are still on, saving energy while providing the data on-demand with minimal latency.
Then we apply our cloud AI system cooling solution. Which will focus on cooling the specific areas of your network, that need it the most, while saving energy where you don’t.
“Managing data is simplified”
A pen test helps us to locate and eliminate unmanned devices as well as to find potential network weak points. Once problem areas are found we offer easy to deploy custom security solutions to prevent future issues. We get a map of the entire network and use it to imporove performance.
Model Deployment - 30+1
Our technology works with any file type or size. It was designed to work in most native languages and is deployable in real-time. Designed using an open-source platform specifically to remain agnostic to both data center hardware and software.
IoT HVAC Tool gets deployed
The most recent addition to our solution and one of the most powerful. Developed with AI and Machine Learning, this cloud solution is the only tested and proven technology that’s 100% effective at reducing energy used for cooling data centers by 30% or more.
According to the National Resources Defense Council (NRDC), “Nearly 3 million U.S. data centers help power our economy, make our lives easier, and render our buildings and electricity grid ‘smarter.” At the same time, data centers are now rapidly driving the construction of new power plants as they become one of the nation’s largest and fastest-growing consumers of electricity. As organizations evaluate their optimization and sustainability options, in many cases it is the existing data center facilities that continue to carry the proverbial load. Implementation of more highly efficient power and cooling designs plays a significant role in saving money and recouping earlier investments in the data center.
IT continues to evolve at a rapid rate, introducing changes few data center designers could have anticipated
a decade or more ago.
“Out of clutter find simplicity. From discord, find harmony. In the middle of difficulty, lies opportunity.”
Albert Einstein – Theoretical Physicist & Nobel Laureate