Google Reveals AI System Taking Charge of its Data Centres
The steady march of artificial intelligence (AI) rolls on with Google revealing its latest innovation supporting data centre cooling and industrial control.
In 2016 Google and DeepMind collaborated to develop an AI-powered recommendation system with the goal to improve the energy efficiency of Google’s data centres.
And now, Google has taken this same AI system and enhanced it to remove human-implemented recommendations and instead let it directly control data centre cooling itself – while under expert supervision of course.
So how does it work?
“Every five minutes, our cloud-based AI pulls a snapshot of the data centre cooling system from thousands of sensors and feeds it into our deep neural networks, which predict how different combinations of potential actions will affect future energy consumption,” Google’s Amanda Gasparik and DeepMind’s Chris Gamble and Jim Gao reported in a release.
“The AI system then identifies which actions will minimise the energy consumption while satisfying a robust set of safety constraints. Those actions are sent back to the data centre, where the actions are verified by the local control system and then implemented.”
The idea effectively emerged from a trial and error approach of the previous AI recommendation system, as while Google data centre operators praised the system for revealing new best practices (like spreading the cooling load across more equipment rather than less), actually putting the recommendations into practice required too much operator effort and supervision.
“We wanted to achieve energy savings with less operator overhead. Automating the system enabled us to implement more granular actions at greater frequency, while making fewer mistakes,” says Google data centre operator Dan Fuenffinger.
Hence Google implemented the new AI system to remove some of the manual implementation.
Google has thousands of servers and it is mission critical that they all run reliably and efficiently. In light of this, the company asserts it has tailored the AI agents from the ground up with safety and reliability the priority, using eight different mechanisms in an effort to guarantee reliable system behaviour.
For example, one simple step Google has put into place is to estimate uncertainty. There are billions of actions involved with the data centres and for every one of these the AI agent determines its confidence on whether it’s a good step – actions with low confidence are eliminated from consideration.
Another example is two-layer verification, whereby optimal actions computed by the AI are vetted against an internal list of safety constraints that are established by the data centre operators. Furthermore, the operators are always in control and can exit from AI control mode at any time.
While the AI system has the ability to determine the data centres actions, Google says it has purposefully limited the system’s optimisation boundaries in a bid to prioritise safety and reliability.
After being in operation for a matter of months the system has already proven itself with consistent energy savings of around 30 percent on average. Furthermore, Google expects this to improve over time as the system gains access to more data and the boundaries expanded as the technology matures.
"It was amazing to see the AI learn to take advantage of winter conditions and produce colder than normal water, which reduces the energy required for cooling within the data centre. Rules don’t get better over time, but AI does,” says Fuenffinger.
Google asserts that it is excited about the technology, and that data centres are just the beginning as it believes the AI system can be implemented in several other industrial settings.
- Sailpoint IIQ Consultant
- Up to £75,000
SailPoint IIQ consultant- London We are looking for a strong SailPoint IIQ consultant to work for this global enterprise, in this position you will be the lead consultant in regard to the IAM and PAM tools Duties include Responsible for designing, developing, testing, implementing, and integrating IAM (SailPoint) systems and solutions. Assessing requirements for Identity and Access Management solutions to meet stakeholders needs. Provide support for production IAM infrastructure systems and processes. Ensures the maintenance, patching, operating, and monitoring of IAM systems. Ensures senior management and staff are informed of any changes and updates in a timely manner. Experience with Maintaining and supporting SailPoint IIQ Assessing requirements for Privilege Access Management solutions to meet stakeholders needs We are looking for someone with the following experience SailPoint IIQ experience Expertise working with SailPoint Identity IQ platform - Access Lifecycle Management, Certifications, Role Management Expertise in onboarding applications with various connectors like Active Directory, JDBC, SCIM 2.0, Azure Active Directory Expertise in developing APIs (SCIM, REST) leveraging Java based developmentExperience of Privileged Access Management concepts and use cases Unfortunatly we are unable to provide sponsorship for this opportunity, therefore applications will need to be able to work in the UK
- SailPoint Consultant- Netherland-
- upto €700 per day
We are looking for a highly skilled SailPoint IIQ Consultant to work on a major deployment project. The ideal candidate will have experience with all aspects of SailPoint IIQ, including development, configuration, and administration. They will also be able to work independently and as part of a team to deliver high-quality results. · Responsibilities · Develop and configure Sailpoint IIQ solutions · Integrate SailPoint IIQ with other systems · Support SailPoint IIQ deployments · Provide technical support to users If you are a highly skilled SailPoint IIQ consultant who is looking for their next project, we encourage you to apply. look forward to hearing from you!
- Lead CyberArk deployment Consultant
- Upto £80,000 plus benefits
CyberArk Consultant is needed to be responsible for leading the deployment of CyberArk solutions for this expanding IT services business, You will work with customer both pre and post sales, getting involved in CyberArk Solution Design, helping to create CyberArk Strategic Roadmaps, on-boarding accounts, product and process integration into the CyberArk Solution and Proviso of Installation and technical Documentation. We are looking for this individual to have experience in: Installation of CyberArk PAS for V11.X and V12.X (Vault, DR Vault, Central Policy Manager and Password Vault Web Access) Upgrade of CyberArk from V9 and V10 (Vault, DR Vault, Central Policy Manager and Password Vault Web Access) Installation and Upgrade of Privilege Session Manager and Privilege Session Manager Proxy As some of your client will be government site, all individual will need to be put through SC clearance, therefore you must be eligible to receive this and happy to be put through(With a British Citizen or to have lived in the UK for the past 5 years) We are unable to provide work visa sponsorship for this opportunity
- Senior Business Analyst - Outside IR35 Contract, SC Clearance Required, London
- £400 per day outside IR35
Senior Business Analyst - Outside IR35 Contract, SC Clearance Required, Based in London Project- to engage with colleagues and stakeholders to investigate and model business functions, processes, information flows and data structures, using a range of business analysis techniques. • You will translate the solution to the business problem into detailed requirements by creating user stories and well-defined acceptance criteria. • Elicit end-to-end business requirements for a live cross-government service • Working across the Government departments to bring together varied business and operational outcomes to form a holistic overall set of service requirements Current SC clearance is required. As is the ability to travel to London.