SlideShare a Scribd company logo
1 of 21
Download to read offline
VIRTUAL POWER SYSTEMS,
INC.
Customer Introduction to VPS
A Software Defined Power® Company
Stranded Power
40 to 80%
Low Power
Utilization
- 20 to 60%
Peaks & buffers Redundancies &
Backups
Power infrastructure – Expensive & Low utilization
Static power budgets CapEx: $6 - $12 Mill/ MW
OpEx: $0.5 - $1 Mill/ MW/ Yr
Revenue: $1 – 3 Mill/ MW/ Yr
⌁ Intelligent battery, power relays
⌁ Implement software policy
VPS provides Software Defined Power® (SDP)
S/W Power control plane H/W hooks to S/W+
⌁ Collect, aggregate power use data
⌁ Optimize power distribution with
predictive analytics
Like S/W defined compute - Pool, dynamically optimize and allocate resources
⌁ Generate 20-50% additional revenue
⌁ Defer $10-15M/MW CapEx, Avoid $1M/MW/Yr OpEx
⌁ Resell SDP to customer  Customer optimizes distribution  Recurring revenue
How does SDP benefit your data center?
FACILITY
ENDOFROWATFACILITY
ORWHITESPACE
WHITE SPACE (IT GEAR)
VPS Solution: Non-Disruptive, Seamless Deploy
Intelligent Batteries
3RD PARTY
H/W
• Deploy in brownfield data centers – with no change or disruption to existing power infrastructure
• Deploy in greenfield data centers – with fewer power components and redundancies
VPS ICE Hardware
VPS ICE H/W
ICE Block ICE Switch
4 KW Battery, 5 Minute
Full Discharge (as UPS)
AC HV DC
Backplane
DC AC Grid
Tie), 4KW
VPS Reference Design
VPS Compliant
ICE Block, ICE Switch
3rd Party H/W Schneider, C+ET etc
With ICE
Batteries Peak Shave > Unlock Power reserved for peaks
Without ICE
Provisioning for Peak > Low Power Utilization
UPS Container with 4 Racks + HVAC
ICE Software collects Power Data across your Data Center
1.Sets Control Limits of Utility power
2. Battery provides balance power
3. Under a 5% State of Charge Discharge Limit configured
VPS ICE S/W performing peak shaving
Battery shaves peaks  Utility serves base line load  customer can stack more
IT Racks or workload in existing power footprint
• Software configurable redundancy at rack level
• Maintains High Availability for Mission critical racks (or servers)
2N
Dual Corded Rack
10 kW
10 kW 10 kW
50% power is locked in redundancy
Traditional 2N environment
Mission Critical
Rack
(99.984%)
10 kW
10 kW 10 kW
100% power utilization with dynamic redundancy
2N environment with ICE Dynamic
Redundancy
Less Critical Rack
(99.95%)
10 kW
• Say Green Line Fails. ICE
ensures power on Yellow line
to higher priority rack
• ICE will switch off power to
the yellow on 1N rack in 4
milli seconds as the absolute
last resort. It measures real-
time power and takes no
action
• if total draw total is less
than 10KW
• If battery is available to
ridethrough
• If power draw can be
reduced thru lowered
CPU frequency by ICE
policy based on actual
power deficit in real time
• But after performing safe shut
downs, alerts, Vmotion, back
ups and other relevant actions
ICE Switch ICE Switch
VPS ICE S/W performing Dynamic redundancy
Dynamic Policy-based Orchestration
Predictive Provisioning
Power Variability Management
Power Availability Control
Resiliency-aware RSD Provisioning
Hardware
and
Software
Control
Systems
Mechanisms
Orchestrating
HW and SW
Control
Systems
Customer
Value
Proposition
Platform
Value-added
Capabilities
DCMServers
POD
Manager
Data Center
Mgt
VPS SDP exposed as API for easy integration data center systems
Customer Benefits: Economics
USE CASE Existing Facility
Current 2MW Data Center has no Power Available, Needs to add 1 MW
WITHOUT ICE: Build 1MW of Additional Facility WITH ICE: ICE Increases Power within existing footprint
$10 M Additional Facility CapEx
$1.0 M Additional Maintenance OpEx per year
Saves Facility CapEx spend $6 M (net of $4M VPS Cost)
Saves $0.75M / Year in OpEx (net of $0.25 M in VPS Cost)
GRID
GENERATOR
X-
FORMER
DISTRIBUTION
COOLING
SYSTEM
UPS
IT
IT
IT
IT
ICE
ICE
SG
4 Year Savings = $9.0 M/MW  Average Per Server saving
$1,750
(@200 W servers, 5000 servers/MW $9,000,000/5,000=
$1,750)
Customer Benefits: Economics
USE CASE Existing Facility
Current 2MW Data Center has no Power Available, Need to add 1 MW for new customer
WITHOUT ICE: Build 1MW of Additional Facility WITH ICE: ICE Increases Power within existing footprint
$10 M Additional Facility CapEx
$1.0 M Additional Maintenance OpEx per year
Saves Facility CapEx spend $6 M (net of $4M VPS Cost)
Saves $0.75M / Year in OpEx (net of $0.25 M in VPS Cost)
GRID
GENERATOR
X-
FORMER
DISTRIBUTION
COOLING
SYSTEM
UPS
IT
IT
IT
IT
ICE
ICE
SG
4 Year TCO deferred = $9.0 M/MW
+ Additional revenue in 4 years = $4 to 8 Million
Customer Benefits: Economics
USE CASE
New Facility
Build 1 MW
WITHOUT ICE: New Facility WITH ICE: ICE Increases Power within existing footprint
$10 M Facility CapEx
$1.0 M Maintenance OpEx per year
Saves Facility CapEx* spend ($3.4 M, net of VPS Cost)
Saves $0.2 M / Year in OpEx
GRID
GENERATOR
DISTRIBUTION
COOLING
SYSTEM
IT
ICE
ICESG
* Build 0.6 MW instead of 1MW at a cost of $11 M per MW= $6.6 M
For the 0.6 MW footprint – ICE  $3.0 M; other Power & Cooling  $3.6 M
Thank You
Virtual Power Systems, Inc
4699 Old Ironsides Drive, Suite 100
Santa Clara, CA
www.virtualpowersystems.com
The VPS ICE Solution Software Power Control Plane
Pool Power Sources
Optimize Power Distribution
Automatically Allocate Power Budgets
ICE Hardware Battery & Power Conversion
ICE Switches & Sensors
3rd Party Power Hardware IT
Management Systems
Learn Power Distribution
Remote Monitoring & Automated Control
ICE CLOUD &
REMOTE
SERVICES
ICE
APPLICATIONS
ICE OPERATING
SYSTEM
POWER
HARDWARE
SENSORS & CONTROLS
IT SYSTEMS
ICE Reference Designs  Licensee Manufactured
Connect, Communicate, Control, Persist Data and
Provide API Interface for Applications and Devices
ICE Use cases
1. Added capacity at near Tier 3 availability
2. Tier 2 data centers offering higher availability at rack or row/room levels
• Greenfield next generation data centers
• Brownfield expansion to new whitespace
3. Policy implementation  Executing optimized power distribution decisions
4. Added capacity in paired data centers at flexible levels of availability
5. Data center consolidationTapping into unused redundant power
Use Case 1: Added capacity at near Tier 3 availability
Before ICE: Max
utilization 45%
After ICE: Max
utilization 90%
Use Case 2: Tier 2 data
center offering higher
availability at
Room/Rack/Rack PDU
outlet
(Brownfield)
DC Source augmenting AC powerTraditional Tier 2 power distribution
Design features:
• Augmented DC power supply
• Decentralized UPS
• Decentralized smart Switch for
redundancy, source favoring, policy
executions
• Software managed hardware
• Scales with the racks / rows
(rightsized expansion)
NOTE: This design assumes specialized
rack design. Concept can be
implemented for standard racks, with
minor re-design.
DC Source augmenting AC powerTraditional Tier 2 power distribution
Tier 3 SLA whitespace
added in a Tier 2 data
center, with DC power
augmentation
Use Case 2: Tier 2 data
center offering higher
availability at
Room/Rack/Rack PDU
outlet
(Greenfield)
DC1
2N
50% load
DC2
2N
50% load
TODAY
Paired Data Centers
Normal Operations
DC1
2N
0% load
DC2
2N
50% load
Paired Data Centers
Failure Scenario
X
DC1
2N
50%
load
WithICE
Paired Data Centers
Normal Operations
Paired Data Centers
Failure Scenario with Dynamic Redundancy Only in double failure,
paired Data Centers will
lose 1N load
1N
50%
load
DC2
2N
50%
load
1N
50%
load
DC1
2N
50%
load
1N
50%
load
DC2
2N
50%
load
1N
50%
load
+ +
X
DC2
2N
50%
load
1N
50%
loadX
Utilization can be 100% (doubled)
with Dynamic Redundancy
1N Availability is higher in paired
Data Centers, due to pairing
Use case 4: Added capacity in paired data centers at flexible levels of availability
TODAYWithICE
Use case 5: Data center consolidation  Tapping unused redundant power
DC
2N
50% load
Power locked in for
extended period of
time
2N
50% load Migration
or expansion
to a new
whitespace
Loc1 Loc2
DC
1N
50% load
2N
50% load Migration
or expansion
to a new
whitespace
Loc1 Loc2
Pre migration: Uses
redundant power in Loc2
DC
2N
50% load
1N
50% load Migration
or expansion
to a new
whitespace
Loc1 Loc2
Post migration: Uses
redundant power in Loc1
VPS S/W Defined Power deployment in data center

More Related Content

What's hot

Calculating total power
Calculating total powerCalculating total power
Calculating total powerjeet69
 
Energy efficiency data center overview
Energy efficiency data center overviewEnergy efficiency data center overview
Energy efficiency data center overviewSchneider Electric
 
Underground Self-Healing Solution
Underground Self-Healing Solution Underground Self-Healing Solution
Underground Self-Healing Solution Schneider Electric
 
An improved architecture for high efficiency, high-density data centers
An improved architecture for high efficiency, high-density data centersAn improved architecture for high efficiency, high-density data centers
An improved architecture for high efficiency, high-density data centersSchneider Electric India
 
A New Language for Specifying Modular Data Centers
A New Language for Specifying Modular Data CentersA New Language for Specifying Modular Data Centers
A New Language for Specifying Modular Data CentersSchneider Electric
 
Competitive Analysis Dell Open Manage Power Center vs IBM Active Energy Manager
Competitive Analysis Dell Open Manage Power Center vs IBM Active Energy ManagerCompetitive Analysis Dell Open Manage Power Center vs IBM Active Energy Manager
Competitive Analysis Dell Open Manage Power Center vs IBM Active Energy ManagerDavid Jenkins
 
The Intelligent and Connected Data Center
The Intelligent and Connected Data CenterThe Intelligent and Connected Data Center
The Intelligent and Connected Data CenterSchneider Electric
 
Data center power infrastructure
Data center power infrastructureData center power infrastructure
Data center power infrastructureLivin Jose
 
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...Spiceworks
 
Preparing for Distributed Energy Resources
Preparing for Distributed Energy ResourcesPreparing for Distributed Energy Resources
Preparing for Distributed Energy ResourcesSchneider Electric
 
Making the grid more efficient, flexible and secure
Making the grid more efficient, flexible and secureMaking the grid more efficient, flexible and secure
Making the grid more efficient, flexible and secureSchneider Electric
 
DataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure PresentationDataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure PresentationMuhammad Asad Rashid
 
Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06jeffqw
 
Data centre networking
Data centre networkingData centre networking
Data centre networkingJisc
 
Integrated Facility Sub Systems
Integrated Facility Sub SystemsIntegrated Facility Sub Systems
Integrated Facility Sub SystemsSchneider Electric
 
Understanding Power Redundancy Levels in Data Centers
Understanding Power Redundancy Levels in Data CentersUnderstanding Power Redundancy Levels in Data Centers
Understanding Power Redundancy Levels in Data CentersMDC Data Centers
 
Hacking the Conventional Data Center Infrastructure
Hacking the Conventional  Data Center InfrastructureHacking the Conventional  Data Center Infrastructure
Hacking the Conventional Data Center InfrastructureSchneider Electric
 

What's hot (20)

Calculating total power
Calculating total powerCalculating total power
Calculating total power
 
Energy efficiency data center overview
Energy efficiency data center overviewEnergy efficiency data center overview
Energy efficiency data center overview
 
Underground Self-Healing Solution
Underground Self-Healing Solution Underground Self-Healing Solution
Underground Self-Healing Solution
 
An improved architecture for high efficiency, high-density data centers
An improved architecture for high efficiency, high-density data centersAn improved architecture for high efficiency, high-density data centers
An improved architecture for high efficiency, high-density data centers
 
A New Language for Specifying Modular Data Centers
A New Language for Specifying Modular Data CentersA New Language for Specifying Modular Data Centers
A New Language for Specifying Modular Data Centers
 
Competitive Analysis Dell Open Manage Power Center vs IBM Active Energy Manager
Competitive Analysis Dell Open Manage Power Center vs IBM Active Energy ManagerCompetitive Analysis Dell Open Manage Power Center vs IBM Active Energy Manager
Competitive Analysis Dell Open Manage Power Center vs IBM Active Energy Manager
 
AccuSine pfv+
AccuSine pfv+ AccuSine pfv+
AccuSine pfv+
 
Apc - 26oct2011
Apc - 26oct2011Apc - 26oct2011
Apc - 26oct2011
 
The Intelligent and Connected Data Center
The Intelligent and Connected Data CenterThe Intelligent and Connected Data Center
The Intelligent and Connected Data Center
 
Data center power infrastructure
Data center power infrastructureData center power infrastructure
Data center power infrastructure
 
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
EatonVirtualization, Connectivity and the Cloud — Trends Driving the Future o...
 
Preparing for Distributed Energy Resources
Preparing for Distributed Energy ResourcesPreparing for Distributed Energy Resources
Preparing for Distributed Energy Resources
 
Making the grid more efficient, flexible and secure
Making the grid more efficient, flexible and secureMaking the grid more efficient, flexible and secure
Making the grid more efficient, flexible and secure
 
DataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure PresentationDataCenter:: Infrastructure Presentation
DataCenter:: Infrastructure Presentation
 
Data Centers
Data CentersData Centers
Data Centers
 
Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06Net Ops Data Center Architecture Diagram 06
Net Ops Data Center Architecture Diagram 06
 
Data centre networking
Data centre networkingData centre networking
Data centre networking
 
Integrated Facility Sub Systems
Integrated Facility Sub SystemsIntegrated Facility Sub Systems
Integrated Facility Sub Systems
 
Understanding Power Redundancy Levels in Data Centers
Understanding Power Redundancy Levels in Data CentersUnderstanding Power Redundancy Levels in Data Centers
Understanding Power Redundancy Levels in Data Centers
 
Hacking the Conventional Data Center Infrastructure
Hacking the Conventional  Data Center InfrastructureHacking the Conventional  Data Center Infrastructure
Hacking the Conventional Data Center Infrastructure
 

Similar to Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defined Power

Aged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptxAged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptxSchneider Electric
 
Commercial Overview DC Session 3 The Greening Of The Data Centre
Commercial Overview   DC Session 3   The Greening Of The Data CentreCommercial Overview   DC Session 3   The Greening Of The Data Centre
Commercial Overview DC Session 3 The Greening Of The Data Centrepaul_mathews
 
PAC 2.5 Efficiency is Attainable, What are you Waiting for?
PAC 2.5 Efficiency is Attainable, What are you Waiting for?PAC 2.5 Efficiency is Attainable, What are you Waiting for?
PAC 2.5 Efficiency is Attainable, What are you Waiting for?SchneiderITB
 
MRI Energy-Efficient Cloud Computing
MRI Energy-Efficient Cloud ComputingMRI Energy-Efficient Cloud Computing
MRI Energy-Efficient Cloud ComputingRoger Rafanell Mas
 
6dec2011 - Power Back-up_1
6dec2011 - Power Back-up_16dec2011 - Power Back-up_1
6dec2011 - Power Back-up_1Agora Group
 
Greg Thomson - Community Microgrid - (17 oct 2014)
Greg Thomson - Community Microgrid - (17 oct 2014)Greg Thomson - Community Microgrid - (17 oct 2014)
Greg Thomson - Community Microgrid - (17 oct 2014)annphancock
 
Proactively Managing Your Data Center Infrastructure
Proactively Managing Your Data Center InfrastructureProactively Managing Your Data Center Infrastructure
Proactively Managing Your Data Center Infrastructurekimotte
 
Alan Crosswell Canarie20090304
Alan Crosswell  Canarie20090304Alan Crosswell  Canarie20090304
Alan Crosswell Canarie20090304Bill St. Arnaud
 
Economic and Environmental Drivers for Virtualization
Economic and Environmental Drivers for VirtualizationEconomic and Environmental Drivers for Virtualization
Economic and Environmental Drivers for Virtualizationncceconnect
 
Delta-Data Center Solutions (1)
Delta-Data Center Solutions (1)Delta-Data Center Solutions (1)
Delta-Data Center Solutions (1)Joydio Cadayday
 
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...Steve Houck
 
Intel Node Manager Intro
Intel Node Manager IntroIntel Node Manager Intro
Intel Node Manager IntroDavid Jenkins
 
2009 Itc Green It
2009 Itc Green It2009 Itc Green It
2009 Itc Green ItJayMNEA
 
Commercial Overview SCS Session 1 Server Rack Strategies
Commercial Overview   SCS Session 1   Server Rack StrategiesCommercial Overview   SCS Session 1   Server Rack Strategies
Commercial Overview SCS Session 1 Server Rack Strategiespaul_mathews
 

Similar to Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defined Power (20)

Aged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptxAged Data Center Infrastructure.pptx
Aged Data Center Infrastructure.pptx
 
Emerson Energy Logic
Emerson Energy LogicEmerson Energy Logic
Emerson Energy Logic
 
Ever Green Dc
Ever Green DcEver Green Dc
Ever Green Dc
 
Faronics Power Save
Faronics Power SaveFaronics Power Save
Faronics Power Save
 
Commercial Overview DC Session 3 The Greening Of The Data Centre
Commercial Overview   DC Session 3   The Greening Of The Data CentreCommercial Overview   DC Session 3   The Greening Of The Data Centre
Commercial Overview DC Session 3 The Greening Of The Data Centre
 
PAC 2.5 Efficiency is Attainable, What are you Waiting for?
PAC 2.5 Efficiency is Attainable, What are you Waiting for?PAC 2.5 Efficiency is Attainable, What are you Waiting for?
PAC 2.5 Efficiency is Attainable, What are you Waiting for?
 
MRI Energy-Efficient Cloud Computing
MRI Energy-Efficient Cloud ComputingMRI Energy-Efficient Cloud Computing
MRI Energy-Efficient Cloud Computing
 
Build Energy Saving into Your Datacenter
Build Energy Saving into Your DatacenterBuild Energy Saving into Your Datacenter
Build Energy Saving into Your Datacenter
 
6dec2011 - Power Back-up_1
6dec2011 - Power Back-up_16dec2011 - Power Back-up_1
6dec2011 - Power Back-up_1
 
Greg Thomson - Community Microgrid - (17 oct 2014)
Greg Thomson - Community Microgrid - (17 oct 2014)Greg Thomson - Community Microgrid - (17 oct 2014)
Greg Thomson - Community Microgrid - (17 oct 2014)
 
Proactively Managing Your Data Center Infrastructure
Proactively Managing Your Data Center InfrastructureProactively Managing Your Data Center Infrastructure
Proactively Managing Your Data Center Infrastructure
 
Alan Crosswell Canarie20090304
Alan Crosswell  Canarie20090304Alan Crosswell  Canarie20090304
Alan Crosswell Canarie20090304
 
Gamatronics Solutions for Data Centers
Gamatronics Solutions for Data CentersGamatronics Solutions for Data Centers
Gamatronics Solutions for Data Centers
 
Economic and Environmental Drivers for Virtualization
Economic and Environmental Drivers for VirtualizationEconomic and Environmental Drivers for Virtualization
Economic and Environmental Drivers for Virtualization
 
Delta-Data Center Solutions (1)
Delta-Data Center Solutions (1)Delta-Data Center Solutions (1)
Delta-Data Center Solutions (1)
 
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
Overcoming Rack Power Limits with Virtual Power Systems Dynamic Redundancy an...
 
Intel Node Manager Intro
Intel Node Manager IntroIntel Node Manager Intro
Intel Node Manager Intro
 
2009 Itc Green It
2009 Itc Green It2009 Itc Green It
2009 Itc Green It
 
Green ICT
Green ICTGreen ICT
Green ICT
 
Commercial Overview SCS Session 1 Server Rack Strategies
Commercial Overview   SCS Session 1   Server Rack StrategiesCommercial Overview   SCS Session 1   Server Rack Strategies
Commercial Overview SCS Session 1 Server Rack Strategies
 

Recently uploaded

Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfinfogdgmi
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostMatt Ray
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfJamie (Taka) Wang
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 

Recently uploaded (20)

Videogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdfVideogame localization & technology_ how to enhance the power of translation.pdf
Videogame localization & technology_ how to enhance the power of translation.pdf
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
activity_diagram_combine_v4_20190827.pdfactivity_diagram_combine_v4_20190827.pdf
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 

Virtual Power Systems - Intelligent Control of Energy (ICE) and Software Defined Power

  • 1. VIRTUAL POWER SYSTEMS, INC. Customer Introduction to VPS A Software Defined Power® Company
  • 2. Stranded Power 40 to 80% Low Power Utilization - 20 to 60% Peaks & buffers Redundancies & Backups Power infrastructure – Expensive & Low utilization Static power budgets CapEx: $6 - $12 Mill/ MW OpEx: $0.5 - $1 Mill/ MW/ Yr Revenue: $1 – 3 Mill/ MW/ Yr
  • 3. ⌁ Intelligent battery, power relays ⌁ Implement software policy VPS provides Software Defined Power® (SDP) S/W Power control plane H/W hooks to S/W+ ⌁ Collect, aggregate power use data ⌁ Optimize power distribution with predictive analytics Like S/W defined compute - Pool, dynamically optimize and allocate resources
  • 4. ⌁ Generate 20-50% additional revenue ⌁ Defer $10-15M/MW CapEx, Avoid $1M/MW/Yr OpEx ⌁ Resell SDP to customer  Customer optimizes distribution  Recurring revenue How does SDP benefit your data center?
  • 5. FACILITY ENDOFROWATFACILITY ORWHITESPACE WHITE SPACE (IT GEAR) VPS Solution: Non-Disruptive, Seamless Deploy Intelligent Batteries 3RD PARTY H/W • Deploy in brownfield data centers – with no change or disruption to existing power infrastructure • Deploy in greenfield data centers – with fewer power components and redundancies
  • 6. VPS ICE Hardware VPS ICE H/W ICE Block ICE Switch 4 KW Battery, 5 Minute Full Discharge (as UPS) AC HV DC Backplane DC AC Grid Tie), 4KW VPS Reference Design VPS Compliant ICE Block, ICE Switch 3rd Party H/W Schneider, C+ET etc
  • 7. With ICE Batteries Peak Shave > Unlock Power reserved for peaks Without ICE Provisioning for Peak > Low Power Utilization UPS Container with 4 Racks + HVAC ICE Software collects Power Data across your Data Center 1.Sets Control Limits of Utility power 2. Battery provides balance power 3. Under a 5% State of Charge Discharge Limit configured VPS ICE S/W performing peak shaving Battery shaves peaks  Utility serves base line load  customer can stack more IT Racks or workload in existing power footprint
  • 8. • Software configurable redundancy at rack level • Maintains High Availability for Mission critical racks (or servers) 2N Dual Corded Rack 10 kW 10 kW 10 kW 50% power is locked in redundancy Traditional 2N environment Mission Critical Rack (99.984%) 10 kW 10 kW 10 kW 100% power utilization with dynamic redundancy 2N environment with ICE Dynamic Redundancy Less Critical Rack (99.95%) 10 kW • Say Green Line Fails. ICE ensures power on Yellow line to higher priority rack • ICE will switch off power to the yellow on 1N rack in 4 milli seconds as the absolute last resort. It measures real- time power and takes no action • if total draw total is less than 10KW • If battery is available to ridethrough • If power draw can be reduced thru lowered CPU frequency by ICE policy based on actual power deficit in real time • But after performing safe shut downs, alerts, Vmotion, back ups and other relevant actions ICE Switch ICE Switch VPS ICE S/W performing Dynamic redundancy
  • 9. Dynamic Policy-based Orchestration Predictive Provisioning Power Variability Management Power Availability Control Resiliency-aware RSD Provisioning Hardware and Software Control Systems Mechanisms Orchestrating HW and SW Control Systems Customer Value Proposition Platform Value-added Capabilities DCMServers POD Manager Data Center Mgt VPS SDP exposed as API for easy integration data center systems
  • 10. Customer Benefits: Economics USE CASE Existing Facility Current 2MW Data Center has no Power Available, Needs to add 1 MW WITHOUT ICE: Build 1MW of Additional Facility WITH ICE: ICE Increases Power within existing footprint $10 M Additional Facility CapEx $1.0 M Additional Maintenance OpEx per year Saves Facility CapEx spend $6 M (net of $4M VPS Cost) Saves $0.75M / Year in OpEx (net of $0.25 M in VPS Cost) GRID GENERATOR X- FORMER DISTRIBUTION COOLING SYSTEM UPS IT IT IT IT ICE ICE SG 4 Year Savings = $9.0 M/MW  Average Per Server saving $1,750 (@200 W servers, 5000 servers/MW $9,000,000/5,000= $1,750)
  • 11. Customer Benefits: Economics USE CASE Existing Facility Current 2MW Data Center has no Power Available, Need to add 1 MW for new customer WITHOUT ICE: Build 1MW of Additional Facility WITH ICE: ICE Increases Power within existing footprint $10 M Additional Facility CapEx $1.0 M Additional Maintenance OpEx per year Saves Facility CapEx spend $6 M (net of $4M VPS Cost) Saves $0.75M / Year in OpEx (net of $0.25 M in VPS Cost) GRID GENERATOR X- FORMER DISTRIBUTION COOLING SYSTEM UPS IT IT IT IT ICE ICE SG 4 Year TCO deferred = $9.0 M/MW + Additional revenue in 4 years = $4 to 8 Million
  • 12. Customer Benefits: Economics USE CASE New Facility Build 1 MW WITHOUT ICE: New Facility WITH ICE: ICE Increases Power within existing footprint $10 M Facility CapEx $1.0 M Maintenance OpEx per year Saves Facility CapEx* spend ($3.4 M, net of VPS Cost) Saves $0.2 M / Year in OpEx GRID GENERATOR DISTRIBUTION COOLING SYSTEM IT ICE ICESG * Build 0.6 MW instead of 1MW at a cost of $11 M per MW= $6.6 M For the 0.6 MW footprint – ICE  $3.0 M; other Power & Cooling  $3.6 M
  • 13. Thank You Virtual Power Systems, Inc 4699 Old Ironsides Drive, Suite 100 Santa Clara, CA www.virtualpowersystems.com
  • 14. The VPS ICE Solution Software Power Control Plane Pool Power Sources Optimize Power Distribution Automatically Allocate Power Budgets ICE Hardware Battery & Power Conversion ICE Switches & Sensors 3rd Party Power Hardware IT Management Systems Learn Power Distribution Remote Monitoring & Automated Control ICE CLOUD & REMOTE SERVICES ICE APPLICATIONS ICE OPERATING SYSTEM POWER HARDWARE SENSORS & CONTROLS IT SYSTEMS ICE Reference Designs  Licensee Manufactured Connect, Communicate, Control, Persist Data and Provide API Interface for Applications and Devices
  • 15. ICE Use cases 1. Added capacity at near Tier 3 availability 2. Tier 2 data centers offering higher availability at rack or row/room levels • Greenfield next generation data centers • Brownfield expansion to new whitespace 3. Policy implementation  Executing optimized power distribution decisions 4. Added capacity in paired data centers at flexible levels of availability 5. Data center consolidationTapping into unused redundant power
  • 16. Use Case 1: Added capacity at near Tier 3 availability Before ICE: Max utilization 45% After ICE: Max utilization 90%
  • 17. Use Case 2: Tier 2 data center offering higher availability at Room/Rack/Rack PDU outlet (Brownfield) DC Source augmenting AC powerTraditional Tier 2 power distribution Design features: • Augmented DC power supply • Decentralized UPS • Decentralized smart Switch for redundancy, source favoring, policy executions • Software managed hardware • Scales with the racks / rows (rightsized expansion) NOTE: This design assumes specialized rack design. Concept can be implemented for standard racks, with minor re-design.
  • 18. DC Source augmenting AC powerTraditional Tier 2 power distribution Tier 3 SLA whitespace added in a Tier 2 data center, with DC power augmentation Use Case 2: Tier 2 data center offering higher availability at Room/Rack/Rack PDU outlet (Greenfield)
  • 19. DC1 2N 50% load DC2 2N 50% load TODAY Paired Data Centers Normal Operations DC1 2N 0% load DC2 2N 50% load Paired Data Centers Failure Scenario X DC1 2N 50% load WithICE Paired Data Centers Normal Operations Paired Data Centers Failure Scenario with Dynamic Redundancy Only in double failure, paired Data Centers will lose 1N load 1N 50% load DC2 2N 50% load 1N 50% load DC1 2N 50% load 1N 50% load DC2 2N 50% load 1N 50% load + + X DC2 2N 50% load 1N 50% loadX Utilization can be 100% (doubled) with Dynamic Redundancy 1N Availability is higher in paired Data Centers, due to pairing Use case 4: Added capacity in paired data centers at flexible levels of availability
  • 20. TODAYWithICE Use case 5: Data center consolidation  Tapping unused redundant power DC 2N 50% load Power locked in for extended period of time 2N 50% load Migration or expansion to a new whitespace Loc1 Loc2 DC 1N 50% load 2N 50% load Migration or expansion to a new whitespace Loc1 Loc2 Pre migration: Uses redundant power in Loc2 DC 2N 50% load 1N 50% load Migration or expansion to a new whitespace Loc1 Loc2 Post migration: Uses redundant power in Loc1
  • 21. VPS S/W Defined Power deployment in data center

Editor's Notes

  1. End of Row Peak Shaving and Dynamic Redundancy is depicted in the Single Line Diagram Form. The blue box shows peak shaving equipment with stored energy in the form of batteries or other power sources can be used to manage the load of ether the A or B power system. When redundant capacity is being used in normal operations and a system transfers from 2N to 1N the peak shaving equipment selects the remaining source and shares the load to maintain UPS loads at normal levels while the necessary amount of redundant load is shed using various techniques. The red star is the additional load with a slightly lower availability that in the case of 1N operation is reduced to manage the load on the UPS for long term stability. The End of Row ICE Blocks are placed in a panel, which can inject power in a parallel configuration. Parallel configuration means that the entire battery capacity can be used for Peak Shaving. Two Master devices are used, one primary and the other backup in case primary fails. Rest are slave units, used for supplying power instead of control logic. ICE Switch is placed in each rack, the new 1N racks which use redundant power will require ICE Switch for sure.
  2. End of Row Peak Shaving and Dynamic Redundancy is depicted in the Single Line Diagram Form. The blue box shows peak shaving equipment with stored energy in the form of batteries or other power sources can be used to manage the load of ether the A or B power system. When redundant capacity is being used in normal operations and a system transfers from 2N to 1N the peak shaving equipment selects the remaining source and shares the load to maintain UPS loads at normal levels while the necessary amount of redundant load is shed using various techniques. The red star is the additional load with a slightly lower availability that in the case of 1N operation is reduced to manage the load on the UPS for long term stability. The End of Row ICE Blocks are placed in a panel, which can inject power in a parallel configuration. Parallel configuration means that the entire battery capacity can be used for Peak Shaving. Two Master devices are used, one primary and the other backup in case primary fails. Rest are slave units, used for supplying power instead of control logic. ICE Switch is placed in each rack, the new 1N racks which use redundant power will require ICE Switch for sure.
  3. This is an example of a power system that offers several advantages in a data center with a single utility feed available that may only be classified as Tier 2. The utility source is paired with a Grid Tied Generator and parallel AC and DC power distribution system. Each rack contains a UPS system with an AC and DC feed. An expandable rectifier system provides a source of DC power and battery storage systems are located on the end of each row. In case of failure of the Utility Source, the Diesel Generators (DG) come on automatically and the transfer switch aligns power to the DG source. However, in the event of loss a major component such as the step-down transformer or the Switchgear both sources are ineffective because of loss of path for distribution of power. Using DC Rectifiers, available in Modular Capacity of 500 KW or less, AC can be converted to DC and use to power the rack mounted UPS systems, installed in each rack. The system favors AC power during normal operation but in the event of any failure in the AC system the DC system uses the batteries while the Grid-Tie generator starts the load may shift from the batteries to the generators. This system is modular and both the AC UPS system and the DC system expands as the number of racks in the data center increases over time. In addition, the availability of the power in the racks is greater than a what is available in a typical Tier 3 data center topology with a reduced cost over all and a delayed capex cost as the system expands. Being a brown field deployment, the benefits of Software defined Power and new augmented DC rectifiers can only be availed by new Whitespace deployment.
  4. This is comparison of a typical data center that is not using Software Defined Power capabilities today and uses 50% of the capacity on each side of the power system during normal operations. Then in the event of a transfer from 2N to 1N operation all of the power is transferred to the remaining side of the power system. With Software Defined Power some data centers are able to use 100% of the capacity of both sides of the power system during normal operations. ICE hardware and software is used as described in the previous slides to manage the redundant power in the event of a transfer from 2N to 1N operation. The redundant power that is above and beyond the 1N capacity limit is managed by peak shaving initially and then a series of load shedding protocols are executed by the ICE software until the system is stable in 1N mode at the full capacity of the remaining power feed. The load shedding protocols are defined by predetermined policies and operational variables in place at the time of the event.
  5. This is a use case where a data center that is operating at or near its design capacity without ICE will have challenges when replacing legacy systems with new systems when the new systems need to be installed an put on-line while the legacy systems continue to run. In this example both systems will be running at the same time until the new system are proven to be reliable and the old systems can be taken off line. When both system are running the data center may not have enough capacity to run both system reliably. With ICE this type of load migration can be managed with less disruption and with higher availability for critical system in the data center than without ICE. Redundant capacity can be used for the additional capacity head room while the migration takes place. In the event of a hiccup in the new equipment it will be treated with lower priority during the migration until ready to transfer the workloads. As the workloads transfer, the priority of the equipment changes as well. The process becomes a seamless transition where power is managed in such a manner as to maximize availability based on the criticality scoring of each load in real time.
  6. This is an overview of Software Defined Power’s capabilities to converge IT operations with Facility operations to manage capacity in such a manner as to increase the utilization of a facility beyond what is available with management tools previously available.