Robotics & automation
Energy & Micro-grids
Server racks
Location planning & site mgmt
Data centres
The demand for servers has dramatically increased over the past decade with the rise in emerging techs such as GenAI. The requirements have evolved in terms of data volume and computing power + efficiency. Data centers now manage a variety of use cases, supported by multiple technologies that enhance efficiency and sustainability.
Security & access management
Efficiency & automated labour
Security systems
Cooling systems
Increasing demand and interest
33%
329M
Emissions & sustainability
of data centres are located in the US
Terabytes of data are created every day
Modular & Mobile data centres
Location intelligence platforms
55%
~ 8-10k
increase in energy consumption 2023 (7.4GW) from 2022 (4.9GW)
data centres around the globe
Data center infrastructure management (DCIM)
Energy systems & micro-grids
Data centers, critical for cloud computing, now integrate microgrids, battery storage, and uninterruptible power supplies (UPS). These investments in energy systems ensure continuity while increasing sustainability.
70%
Uninterruptible power supplies (UPS) Micro-grids & Smart-grids Battery storage Renewables
of data center opex is electricity - likely to increase
35%
of DC operators not looking into renewable energy
Examples
Schneider Electric Galaxy VX's is a modular UPS with architecture allows for easy scalability.
Enel X's virtual power plant system allows for demand response & micro-grid programs
75%
LOCATION CONSIDERATIONS
Connectivity - carrier neutral
Proximity - infrastructure
Environment security
Promiximity - end user
Application of data (end-use)
Energy - access
Operating model & agreements
Regulations & incentives
of all enterprise generated data is expected to be created and processed outside traditional data centres driven by edge data centres
44%
higher electicity costs than the national average in San Jose, US, which has 27 colocation data centres
Energy - renewable availability
Connectivity - Access
Location & site planning are crucial considerations for effectiness
Trends & models in data centre locations
Edge data centres
data users & producers
Edge data centre
Tradional data centre
Distance
Colocation data centres
Corporates
Carriers
Private exchanges
Government
Colocation data centre
MORE DETAILS
Modular & mobile data centres
Rising demand for new data centers is also creating potential investment opportunities in the fragmented prefabrication and modular (PFM) sector. Demand for edge computing must be met from smaller data centers, often located in urban areas close to customers, rather than huge facilities in far-off locales. Types of pre-fab + modular solutions - Pre-fabricated strcutural components - Skid-mounted MEP equipemnt - Enclosed MEP modules - All in one modules
Examples
Schneider electric's mobile container data centre
Huawei's Smart Modular data centre
Each type of security consideration is applied to each security layer in a data centre facility
Types of security
- Physical security
- Network security
- Data security
- Operational security
- Outside barrier
- Security within premise
- Server room access
- Data / server level
Layers of security in Data centre site
Gates barriers, fences, cameras. Detect, Verify & deter
Tracking all movements on ground + in air, radar, security cameras
Speaker systems, key cards, smarts locks, access mgmt system
Modular cameras in racks, tracking who is accessing servers /performing maitenance
83%
of data breaches involve internal actors
Top 10
risk to globally stability - The world economic forum
Security & access management
Threats - according to industry operators
Randsomware
59%
Outside threats (human)
52%
Loss of personal IDs
43%
Advanced Persistent Threats (APTs)
43%
Insider threats (Human)
42%
Inadequate recovery plan
29%
While cyberthreats lead general security concerns, the human element often plays a large part of data breaches
MORE DETAILS
Security systems
Types of physical security hardware
1. Access Control Systems 2. Surveillance cameras 3. Environemntal monitoring systems 4. Intrusion detection systems 5. Physcial barriers
Examples
Cisco's Meraki security cameras leverage ML to offer features such as object detection, motion search, and real-time alerts
HID Mobile access solutions allow keyless entry leveraging underlying Seos credential technology.
Server racks
Server rack technology and layouts evolve with the potential for increased server densities. Data center leaders are seeking new solutions to accommodate higher density levels and more technology deployments.
Change in rack density survey - Past three years
Examples
Iceotope’s Precision Immersion Cooling racks - Immerse electronics to reduce energy usage
HPE Apollo 2000 Gen10 Plus rack - for high performance computing and big data analytics
Location intelligence platforms
Use cases - location intelligence and data centers
Financial modeling
Site selection
Market intelligence
Site planning
Examples
MapLarge - Big data mapping software for location intelligence
DataCenterHawk - dedicated site selection platform for data centre's with forecasts
Steady improvement in Average power usage effectiveness (PUE) ratings
Data center electricity consumption % increase from 2015 to 2021.
Increase in workloads (2015-2021)
Increase in internet traffic (2015-2021)
260%
440%
Energy and water key drivers of sustainability concerns
Key sustainability concerns for data centres
The biggest concern for data centers is energy usage, as data centers consume huge amounts of energy. Concerns are related to inefficient use of energy, or non-renewable energy The second biggest sustainability concern, also centered around resource usage, is water consumption - and related processes such as water sourcing, water usage effectiveness, and water recycling.
By 2025, 3.2% of global carbon emissions are expected to come from data centers, while consuming a fifth of global electricity.
The average data center has a WUE of 1.8 L/kWh, meaning they use 1.8 liters of water for every kilowatt-hour of electricity.
MORE DETAILS
Cooling systems
Keeping the server room temperature between 20-22 degrees Celsius is essential for server reliability and performance. As computer components become faster and smaller, the heat they generate intensifies and becomes more concentrated. Cooling and ventilation are vital and account for up to 40% of the total energy consumption of a data center. Types of cooling: - Air based (Air conditioning, Air handlers) - Liquid based (Chilled, Direct-to-chip, Immersion) - Evaporative & Adiabatic - Heat exchangers (Air-to-air, Liquid-to-liquid) - Advanced (Thermal storage & free cooling)
Examples
Facebook's data center in Oregon utilises direct evaporative cooling that uses water vapour + outdoor air
Microsofts Project Natick - an underwater data centre for reduced cooling needs
1%
3.6%
2.8%
Half of all cloud data centers are predicted to deploy advanced robotics & artificial intelligence by 2025
Four primary use cases
Monitoring
Data centre security
AI/ML in cloud operations
Server upgrades & maintenance
50%
Manual labour efficiency optimisation and automation
High potential for human error in layout planning, poor training, lack of maintenance
75% of data centre outages = human error
Value of automation and robotics
85% of data centers that experienced outages from human error were due to staff not following process
30-40% energy cost savings by implementing AI energy optimization systems such as Google
30% improvement in operation efficiency by deploying robotics and AI in data centers
MORE DETAILS
Facts and stats
Global data centres
- Largest data center in the world: China Telecom in Hohhot China, with 10.7 million sqft
- The average data center size is 100,000 sqft
- The industry is expected to consume 25% of the world's energy by 2025
- The electricity used by data centers could power 6,482,400 average American homes
- Data center construction reached an all-time high in 2023, with 3,077.8 Megawatts under construction. 46% yoy increase.
Robotics & automation
AI-powered analytics is revolutionizing data centre operations. Various providers have presented significant upsides in operational efficiencies, reduced resource consumption and reduced costs.
41% of operators deploying robotics & autonomous sytems in the next 12-26 months
Examples
IBM Watson - can predict potential failures before they occur, allowing for proactive maintenance, reducing failure rates 30%
NTT Data conducts data center robot trial, will roll it out across Japan and commercialize offering (2022)
Data centre infrastructure management & virtualization
DCIM software provides the necessary link between the operational needs of the physical IT equipment and the physical facilities (building and environment controls). DCIM adoption from industry respondents: 69% - Security 65% - Temperature & humidity monitoring 61% - Facility management 61% - Power / energy management 60% - Asset tracking 57% - Cable management 51% - Change management planning 44% - KPI tracking 36% - Deep integration with virtualization
Examples
6SigmaDCX digital twin platform with DCIM applications
Sunbirds DCIM platform with visualization feature
Wheel (Data centres)
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Transcript
Robotics & automation
Energy & Micro-grids
Server racks
Location planning & site mgmt
Data centres
The demand for servers has dramatically increased over the past decade with the rise in emerging techs such as GenAI. The requirements have evolved in terms of data volume and computing power + efficiency. Data centers now manage a variety of use cases, supported by multiple technologies that enhance efficiency and sustainability.
Security & access management
Efficiency & automated labour
Security systems
Cooling systems
Increasing demand and interest
33%
329M
Emissions & sustainability
of data centres are located in the US
Terabytes of data are created every day
Modular & Mobile data centres
Location intelligence platforms
55%
~ 8-10k
increase in energy consumption 2023 (7.4GW) from 2022 (4.9GW)
data centres around the globe
Data center infrastructure management (DCIM)
Energy systems & micro-grids
Data centers, critical for cloud computing, now integrate microgrids, battery storage, and uninterruptible power supplies (UPS). These investments in energy systems ensure continuity while increasing sustainability.
70%
Uninterruptible power supplies (UPS) Micro-grids & Smart-grids Battery storage Renewables
of data center opex is electricity - likely to increase
35%
of DC operators not looking into renewable energy
Examples
Schneider Electric Galaxy VX's is a modular UPS with architecture allows for easy scalability.
Enel X's virtual power plant system allows for demand response & micro-grid programs
75%
LOCATION CONSIDERATIONS
Connectivity - carrier neutral
Proximity - infrastructure
Environment security
Promiximity - end user
Application of data (end-use)
Energy - access
Operating model & agreements
Regulations & incentives
of all enterprise generated data is expected to be created and processed outside traditional data centres driven by edge data centres
44%
higher electicity costs than the national average in San Jose, US, which has 27 colocation data centres
Energy - renewable availability
Connectivity - Access
Location & site planning are crucial considerations for effectiness
Trends & models in data centre locations
Edge data centres
data users & producers
Edge data centre
Tradional data centre
Distance
Colocation data centres
Corporates
Carriers
Private exchanges
Government
Colocation data centre
MORE DETAILS
Modular & mobile data centres
Rising demand for new data centers is also creating potential investment opportunities in the fragmented prefabrication and modular (PFM) sector. Demand for edge computing must be met from smaller data centers, often located in urban areas close to customers, rather than huge facilities in far-off locales. Types of pre-fab + modular solutions - Pre-fabricated strcutural components - Skid-mounted MEP equipemnt - Enclosed MEP modules - All in one modules
Examples
Schneider electric's mobile container data centre
Huawei's Smart Modular data centre
Each type of security consideration is applied to each security layer in a data centre facility
Types of security
Layers of security in Data centre site
Gates barriers, fences, cameras. Detect, Verify & deter
Tracking all movements on ground + in air, radar, security cameras
Speaker systems, key cards, smarts locks, access mgmt system
Modular cameras in racks, tracking who is accessing servers /performing maitenance
83%
of data breaches involve internal actors
Top 10
risk to globally stability - The world economic forum
Security & access management
Threats - according to industry operators
Randsomware
59%
Outside threats (human)
52%
Loss of personal IDs
43%
Advanced Persistent Threats (APTs)
43%
Insider threats (Human)
42%
Inadequate recovery plan
29%
While cyberthreats lead general security concerns, the human element often plays a large part of data breaches
MORE DETAILS
Security systems
Types of physical security hardware
1. Access Control Systems 2. Surveillance cameras 3. Environemntal monitoring systems 4. Intrusion detection systems 5. Physcial barriers
Examples
Cisco's Meraki security cameras leverage ML to offer features such as object detection, motion search, and real-time alerts
HID Mobile access solutions allow keyless entry leveraging underlying Seos credential technology.
Server racks
Server rack technology and layouts evolve with the potential for increased server densities. Data center leaders are seeking new solutions to accommodate higher density levels and more technology deployments.
Change in rack density survey - Past three years
Examples
Iceotope’s Precision Immersion Cooling racks - Immerse electronics to reduce energy usage
HPE Apollo 2000 Gen10 Plus rack - for high performance computing and big data analytics
Location intelligence platforms
Use cases - location intelligence and data centers
Financial modeling
Site selection
Market intelligence
Site planning
Examples
MapLarge - Big data mapping software for location intelligence
DataCenterHawk - dedicated site selection platform for data centre's with forecasts
Steady improvement in Average power usage effectiveness (PUE) ratings
Data center electricity consumption % increase from 2015 to 2021.
Increase in workloads (2015-2021)
Increase in internet traffic (2015-2021)
260%
440%
Energy and water key drivers of sustainability concerns
Key sustainability concerns for data centres
The biggest concern for data centers is energy usage, as data centers consume huge amounts of energy. Concerns are related to inefficient use of energy, or non-renewable energy The second biggest sustainability concern, also centered around resource usage, is water consumption - and related processes such as water sourcing, water usage effectiveness, and water recycling.
By 2025, 3.2% of global carbon emissions are expected to come from data centers, while consuming a fifth of global electricity.
The average data center has a WUE of 1.8 L/kWh, meaning they use 1.8 liters of water for every kilowatt-hour of electricity.
MORE DETAILS
Cooling systems
Keeping the server room temperature between 20-22 degrees Celsius is essential for server reliability and performance. As computer components become faster and smaller, the heat they generate intensifies and becomes more concentrated. Cooling and ventilation are vital and account for up to 40% of the total energy consumption of a data center. Types of cooling: - Air based (Air conditioning, Air handlers) - Liquid based (Chilled, Direct-to-chip, Immersion) - Evaporative & Adiabatic - Heat exchangers (Air-to-air, Liquid-to-liquid) - Advanced (Thermal storage & free cooling)
Examples
Facebook's data center in Oregon utilises direct evaporative cooling that uses water vapour + outdoor air
Microsofts Project Natick - an underwater data centre for reduced cooling needs
1%
3.6%
2.8%
Half of all cloud data centers are predicted to deploy advanced robotics & artificial intelligence by 2025
Four primary use cases
Monitoring
Data centre security
AI/ML in cloud operations
Server upgrades & maintenance
50%
Manual labour efficiency optimisation and automation
High potential for human error in layout planning, poor training, lack of maintenance
75% of data centre outages = human error
Value of automation and robotics
85% of data centers that experienced outages from human error were due to staff not following process
30-40% energy cost savings by implementing AI energy optimization systems such as Google
30% improvement in operation efficiency by deploying robotics and AI in data centers
MORE DETAILS
Facts and stats
Global data centres
Robotics & automation
AI-powered analytics is revolutionizing data centre operations. Various providers have presented significant upsides in operational efficiencies, reduced resource consumption and reduced costs.
41% of operators deploying robotics & autonomous sytems in the next 12-26 months
Examples
IBM Watson - can predict potential failures before they occur, allowing for proactive maintenance, reducing failure rates 30%
NTT Data conducts data center robot trial, will roll it out across Japan and commercialize offering (2022)
Data centre infrastructure management & virtualization
DCIM software provides the necessary link between the operational needs of the physical IT equipment and the physical facilities (building and environment controls). DCIM adoption from industry respondents: 69% - Security 65% - Temperature & humidity monitoring 61% - Facility management 61% - Power / energy management 60% - Asset tracking 57% - Cable management 51% - Change management planning 44% - KPI tracking 36% - Deep integration with virtualization
Examples
6SigmaDCX digital twin platform with DCIM applications
Sunbirds DCIM platform with visualization feature