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The economics of green HPC
Giovanbattista Mattiussi
Marketing HPC, Eurotech
Green computing
• Green computing is a much
discussed subject nowadays
• It is good to separate the
buzzwords from the action we, as
organizations, can really afford to
undertake to realize long term
sustainability strategies
• In other words, which is the overall
incentive to top the Green500 list
other than marketing returns
• Sustainability has a cost, has a
return and hence should have a
ROI
Data center TCO drivers
Driver Cost components
IT CAPEX Initial SW and HW capital expenditures
Space occupancy
(footprint)
Cost of the occupied space and auxiliary infrastructure: rent,
opportunity cost, civil, structural and engineering, permits and
taxes
Data center infrastructure Electrical (UPS, generator, cables…)
Cooling (Chillers, AHUs, heat exchangers, pumps…)
Facilities (fire prevention, plants, security, building mng systems)
Installation Delivery, installation, test and tuning of IT, electrical and cooling
equipment
Energy Cost of energy: IT, cooling, lighting and waste
Maintenance and
additional operation
costs
Warranty extensions, support, software licenses, IT maintenance,
electrical and cooling maintenance, facilities maintenance, costs
of outages, heating, security
Other: disposal, green… Costs of end of life, carbon footprint (missed) incentives, fines…
Main Areas of impact on TCO
Links to sustainability
Energy savings
Lower cost due to
less energy
consumed
Space savings
Savings in real
estate, racks,
electrical, cooling
and network
Reliability
Savings in downtime
indirect cost and
maintenance
Sustainability impact
High
Sustainability impact
High
Sustainability impact
Medium
Energy efficiency - methods
IT equipment
Maximize Flops / Watt
Data Center
Facility PUE
Data Center or
ecosystem
Reuse thermal energy
1 IT equipment
Maximize efficiency
2
3
Increased work per watt
Eliminate fans
Component level heat
exchange
Newest processors are
more efficient
Liquid cooling
Energy aware design
Optimize air cooling
Free cooling
Liquid cooling
Direct liquid cooling
Optimization of power
conversion
Direct liquid cooling
Maximize outlet
temperature
Holistic view of data
center planning
PUEs in various data centers
Source: Intel
Global bank’s best data center (of more than 100) 2.25 Air
EPA Energy Star Average 1.91 Air/Liquid
Intel average >1.80 Air
ORNL 1.25 Liquid
Google 1.16 Liquid coils,
evaporative tower,
hot aisle
containment
Leibniz Supercomputing Centre (LRZ) 1.15 Direct liquid
National Center for Atmospheric Research (NCAR) 1.10 Liquid
Yahoo Lockport *(PUE declared in project) 1.08 Free air cooling +
evaporative cooling
Facebook Prineville 1.07 Free cooling,
evaporative
National Renewable Energy Laboratory (NREL) 1.06 Direct Liquid +
evaporative tower
Accelerators
First conclusion
• Any reduction of PUE (facility side) costs efforts (especially economic
efforts!)
• We know how to do point 2 getting successfully to PUEs of 1.x value.
Let’s focus on the «1» part of the PUE
• One way to do so this through Energy Aware design, a technique that
Eurotech has used for many years to date
Optimized design
No unused components
No fans
Soldered components
Dense architecture (with
integrated interconnect)
Optimized power
conversion chain
Direct liquid cooling
Less civil, structural
and engineering
costs
Less hardware
(racks)
Less maintenance
(fewer components)
Less cooling
(ventilation)
Less cabling
Density - methods
MORE
Flops/m2
Direct liquid cooling
1
High density design
Small form factors
Soldered memory
Compact blades
High performance
processors
2
3
Accelerators
Reliability impacts TCO in 2 ways:
- Direct costs, associated with spare parts, extended warranties, support
personnel
- Indirect costs, related to the business cost associated to an outage.
The direct costs depend on the number of components and their estimated
FIT (failure in time) rate, as demonstrated in the MTBF equation where 𝜇
is the failure rate of the single component and N the number of components
𝜇 is related to quality,
operating conditions,
monitoring and preventive
maintenance of components
MTBF =
1
𝜇 𝑖
𝑖=𝑁
𝑖=1
The indirect impact depends on type of organisation and could range from
thousands to millions € per hour of outage.
So the impact of low reliability on the business could offset any saving reached
during purchase and installation of IT solutions!
Reliability – resilience - methods
Impact of downtime
Comparison - investment
Investment (K US dollars) Datacenter A Datacenter B Datacenter C
Servers $6,200 $6,200 $6,200
Network and other IT $440 $440 $440
Building $1,260 $540 $360
Racks $280 $120 $60
Cooling $2,670 $3,060 $1660
Electrical $3,570 $3,570 $2,420
TOTAL INVESTMENT $14,420 $13,930 $11,140
Data center A – PUE 2.2
Data center B – PUE 1.6
Data center C – PUE 1.05
Medium density (20 kW per rack) – air cooled
High density (50 kW per rack) – optimized air
cooling, rear door liquid cooling
High density (87 kW per rack) – direct hot liquid
cooling, floating Tamb
Comparison – annualized TCO
Annual cost (K US dollars) Datacenter A Datacenter B Datacenter C
Cost of energy $1,970 $1,430 $640
Retuning and additional CFD $6 $3 $0
Total outage cost $270 $270 $230
Preventive maintenance $150 $150 $150
Annual facility and infrastructure
maintenance. $310 $290 $140
Lighting $5 $3 $2
Annualized 3 years capital costs $2,040 $2,000 $1,980
Annualized 10 years capital costs $880 $940 $540
Annualized 15 years capital costs $130 $60 $40
ANNUALIZED TCO $5,761 $5,146 $3,722
Data center A – PUE 2.2
Data center B – PUE 1.6
Data center C – PUE 1.05
Medium density (20 kW per rack) – air cooled
High density (50 kW per rack) – optimized air cooling, rear door
liquid cooling
High density (87 kW per rack) – direct hot liquid cooling, floating
Tamb
GREEN FIELD
Building for energy efficiency (i.e.
choice of location, free cooling…)
to utilize free cooling
TARGET PUE 1.2
EXISTING
Introducing an hot water cooling
installation in existing data center
TARGET PUE 1.4
EXTENSION WITH HIGH DENSITY
Separate room for hot water
cooling and installation which
floats with Tamb
TARGET PUE 1.05
1 Pflop/s installation in Mediterranean climate: hot summers, mild to
cold winters
Investment in data center
+ 4 M$ over a standard building
(PUE 2.2)
Energy savings: 1M $ per year
Payback 4.62 years
Investment in data center
+ 1M $ over standard equipment
(conservative, it can cost less)
Payback time: 1 year
+ 850K$ $ over standard
equipment
Payback time: 1.23 years
Green effects
1 Petaflop/s installation – CO2 savings
with water cooling compared to air
˜28000 tons of CO2 saved in 5 years.
Equivalent to:
3800 cars that do not circulate for 1 year
30100 saved adult trees
40 Km2 of rain forest left untouched

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The Economics of Green HPC

  • 1. The economics of green HPC Giovanbattista Mattiussi Marketing HPC, Eurotech
  • 2. Green computing • Green computing is a much discussed subject nowadays • It is good to separate the buzzwords from the action we, as organizations, can really afford to undertake to realize long term sustainability strategies • In other words, which is the overall incentive to top the Green500 list other than marketing returns • Sustainability has a cost, has a return and hence should have a ROI
  • 3. Data center TCO drivers Driver Cost components IT CAPEX Initial SW and HW capital expenditures Space occupancy (footprint) Cost of the occupied space and auxiliary infrastructure: rent, opportunity cost, civil, structural and engineering, permits and taxes Data center infrastructure Electrical (UPS, generator, cables…) Cooling (Chillers, AHUs, heat exchangers, pumps…) Facilities (fire prevention, plants, security, building mng systems) Installation Delivery, installation, test and tuning of IT, electrical and cooling equipment Energy Cost of energy: IT, cooling, lighting and waste Maintenance and additional operation costs Warranty extensions, support, software licenses, IT maintenance, electrical and cooling maintenance, facilities maintenance, costs of outages, heating, security Other: disposal, green… Costs of end of life, carbon footprint (missed) incentives, fines…
  • 4. Main Areas of impact on TCO Links to sustainability Energy savings Lower cost due to less energy consumed Space savings Savings in real estate, racks, electrical, cooling and network Reliability Savings in downtime indirect cost and maintenance Sustainability impact High Sustainability impact High Sustainability impact Medium
  • 5. Energy efficiency - methods IT equipment Maximize Flops / Watt Data Center Facility PUE Data Center or ecosystem Reuse thermal energy 1 IT equipment Maximize efficiency 2 3 Increased work per watt Eliminate fans Component level heat exchange Newest processors are more efficient Liquid cooling Energy aware design Optimize air cooling Free cooling Liquid cooling Direct liquid cooling Optimization of power conversion Direct liquid cooling Maximize outlet temperature Holistic view of data center planning
  • 6. PUEs in various data centers Source: Intel Global bank’s best data center (of more than 100) 2.25 Air EPA Energy Star Average 1.91 Air/Liquid Intel average >1.80 Air ORNL 1.25 Liquid Google 1.16 Liquid coils, evaporative tower, hot aisle containment Leibniz Supercomputing Centre (LRZ) 1.15 Direct liquid National Center for Atmospheric Research (NCAR) 1.10 Liquid Yahoo Lockport *(PUE declared in project) 1.08 Free air cooling + evaporative cooling Facebook Prineville 1.07 Free cooling, evaporative National Renewable Energy Laboratory (NREL) 1.06 Direct Liquid + evaporative tower
  • 7. Accelerators First conclusion • Any reduction of PUE (facility side) costs efforts (especially economic efforts!) • We know how to do point 2 getting successfully to PUEs of 1.x value. Let’s focus on the «1» part of the PUE • One way to do so this through Energy Aware design, a technique that Eurotech has used for many years to date Optimized design No unused components No fans Soldered components Dense architecture (with integrated interconnect) Optimized power conversion chain Direct liquid cooling
  • 8. Less civil, structural and engineering costs Less hardware (racks) Less maintenance (fewer components) Less cooling (ventilation) Less cabling Density - methods MORE Flops/m2 Direct liquid cooling 1 High density design Small form factors Soldered memory Compact blades High performance processors 2 3 Accelerators
  • 9. Reliability impacts TCO in 2 ways: - Direct costs, associated with spare parts, extended warranties, support personnel - Indirect costs, related to the business cost associated to an outage. The direct costs depend on the number of components and their estimated FIT (failure in time) rate, as demonstrated in the MTBF equation where 𝜇 is the failure rate of the single component and N the number of components 𝜇 is related to quality, operating conditions, monitoring and preventive maintenance of components MTBF = 1 𝜇 𝑖 𝑖=𝑁 𝑖=1 The indirect impact depends on type of organisation and could range from thousands to millions € per hour of outage. So the impact of low reliability on the business could offset any saving reached during purchase and installation of IT solutions! Reliability – resilience - methods
  • 11. Comparison - investment Investment (K US dollars) Datacenter A Datacenter B Datacenter C Servers $6,200 $6,200 $6,200 Network and other IT $440 $440 $440 Building $1,260 $540 $360 Racks $280 $120 $60 Cooling $2,670 $3,060 $1660 Electrical $3,570 $3,570 $2,420 TOTAL INVESTMENT $14,420 $13,930 $11,140 Data center A – PUE 2.2 Data center B – PUE 1.6 Data center C – PUE 1.05 Medium density (20 kW per rack) – air cooled High density (50 kW per rack) – optimized air cooling, rear door liquid cooling High density (87 kW per rack) – direct hot liquid cooling, floating Tamb
  • 12. Comparison – annualized TCO Annual cost (K US dollars) Datacenter A Datacenter B Datacenter C Cost of energy $1,970 $1,430 $640 Retuning and additional CFD $6 $3 $0 Total outage cost $270 $270 $230 Preventive maintenance $150 $150 $150 Annual facility and infrastructure maintenance. $310 $290 $140 Lighting $5 $3 $2 Annualized 3 years capital costs $2,040 $2,000 $1,980 Annualized 10 years capital costs $880 $940 $540 Annualized 15 years capital costs $130 $60 $40 ANNUALIZED TCO $5,761 $5,146 $3,722 Data center A – PUE 2.2 Data center B – PUE 1.6 Data center C – PUE 1.05 Medium density (20 kW per rack) – air cooled High density (50 kW per rack) – optimized air cooling, rear door liquid cooling High density (87 kW per rack) – direct hot liquid cooling, floating Tamb
  • 13. GREEN FIELD Building for energy efficiency (i.e. choice of location, free cooling…) to utilize free cooling TARGET PUE 1.2 EXISTING Introducing an hot water cooling installation in existing data center TARGET PUE 1.4 EXTENSION WITH HIGH DENSITY Separate room for hot water cooling and installation which floats with Tamb TARGET PUE 1.05 1 Pflop/s installation in Mediterranean climate: hot summers, mild to cold winters Investment in data center + 4 M$ over a standard building (PUE 2.2) Energy savings: 1M $ per year Payback 4.62 years Investment in data center + 1M $ over standard equipment (conservative, it can cost less) Payback time: 1 year + 850K$ $ over standard equipment Payback time: 1.23 years
  • 14. Green effects 1 Petaflop/s installation – CO2 savings with water cooling compared to air ˜28000 tons of CO2 saved in 5 years. Equivalent to: 3800 cars that do not circulate for 1 year 30100 saved adult trees 40 Km2 of rain forest left untouched