OLD; Decarbonizing Compute
How the Arm Ecosystem Is Laying the
Foundation for a Net-Zero Emissions Future
Decarbonize Compute, Decarbonize the World
The New Compute Imperative
We believe in the power of technology to build a better world for everyone. With our vast ecosystem, we’re working to close the digital divide and bridge the gap between those with access to digital technologies and the 3.7 billion without. But connectivity cannot come at the expense of the planet.
The climate crisis is one of humanity's greatest challenges. As the IPCC signalled in their Sixth Assessment Report, we are at Code Red for humanity. It is indisputable that we are warming the planet – and urgent action is required. We must reach net-zero carbon by 2050 or face catastrophic climate change1.
Digital technology will play a vital role in driving down emissions by unlocking efficiencies and reducing energy consumption. But to ensure its overall contribution moves the needle in the right direction, it too must be efficient.
Technology needs to be an integral part of national climate plans."
United Nations Climate Change Executive Secretary, Patricia Espinosa
Net Zero Goals
The World Economic Forum estimates that digital solutions could reduce emissions by 15% by 20302 by fine-tuning existing activities and replacing traditional solutions with intelligent ones. Reducing the environmental impact of the underlying technology, however, is also critical.
The tension between technology as a solution to our environmental problems and an exacerbating factor is not new. But tech roadmaps will have to place even more focus on efficiency to reduce overall power consumption as demand for cloud services and digital technologies grows.
That’s why we’re working hard to decarbonize compute, leveraging our expertise in low-power processing to increase performance per watt. By driving down carbon emissions wherever compute happens, we can help technology to achieve maximum benefit with minimal impact.
What Is the Biggest Barrier to Climate Progress?
- Technology. We don't have adequate solutions yet to replace fossil fuels.
- Economics. We have solutions, but they are not nearly cheap enough to scale broadly.
- Policies. We need frameworks that will incentivize retrofits and adoption.
Arm's energy-efficient processor designs and software platforms power products from the sensor to the smartphone and the supercomputer.
Delivering more and more compute performance, while simultaneously improving energy efficiency, is what our partners ask from us every day, so it’s an ambition that makes both commercial and environmental sense.
"As we become an increasingly digital world, the threat to the climate continues to grow but Arm gives us good reason to hope. Sustainable, innovative technologies that aim to help everyone everywhere can increase connectivity while limiting the impact on climate change, leaving the world a better place for every child and generations to come."
Fayaz King, Deputy Executive Director, Field Results and Innovation, UNICEF
Arm CEO Simon Segars outlines how Arm V9, our latest chip architecture, and technologies such as digital twins create a foundation for a sustainable future.
Driving Down Energy Everywhere
Better Infrastructure. Data Processing Units (DPUs) such as NVIDIA's Bluefield-3, which contains 16 Arm processors, increase throughput while lowering power.
Internet Everywhere. Triffid, an experimental chip, runs on power harvested from RF frequencies so IoT can be used to boost recycling and reduce supply chain losses.
Korea Electric Power Company (KEPCO) plans to add 30 million smart meters to its infrastructure with Arm processor technology and TrustZone for security.
The City of Taipei has deployed over 25,000 smart streetlights with Arm partner AAEON to improve safety, reduce energy and in the future provide free Wi-Fi.
Collaborating with Partners Making an Impact-Alternate (see email)
Arm helps bring chip designers, software developers, service providers, and customers together to think big.
Korea Electric Power Company (KEPCO) plans to add 30 million smart meters and ultimately billions of IoT devices to its infrastructure. Arm technology includes a custom chip based on Cortex-M3 from ARGO for meters, Cortex-A9 for gateways, and Arm TrustZone for security.
The City of Taipei has deployed over 25,000 connected, smart streetlights to improve safety and reduce energy. Arm partner AAEON used a range of Arm technologies. In the future, the streetlight network will provide free Wi-Fi and traffic updates.
Connected Climate Solutions
The Connected Revolution
Technological innovation is giving us new ways to solve them. A recent white paper from 451/S&P Global Intelligence explores how digital technology in four industries—electricity, buildings, datacenters, and transportation—will have a major impact on emissions.
The Connected Revolution
Technological innovation is giving us new ways to solve them.
A recent white paper from 451/S&P Global Intelligence explores how digital technology in four industries—electricity, buildings, datacenters, and transportation—will have a major impact on emissions.
Advances in one industry will help others. The proliferation of smart grid technologies will pave the way for more electric vehicles, which in turn will generate demand for efficient datacenters to power cloud services to manage intelligent power grids and cars.
The Connected Revolution
Technological innovation is deepening our understanding of the toughest environmental challenges – and giving us new ways to solve them.
A recent white paper from 451/S&P Global Intelligence explores how leveraging digital technology in four industries—electricity, buildings, datacenters, and transportation—will have a major impact on emissions.
Advances in one industry will help others. The proliferation of smart grid technologies will pave the way for more electric vehicles, which in turn will generate demand for efficient datacenters to power cloud services to manage intelligent power grids and cars.
Energy and Utilities
A Smart Grid Is a Clean Grid
Energy accounts for more atmospheric CO2 than any other industry and will experience the greatest transformation over the next 30 years. The global trends are already evident: cars and heavy industries are switching from fossil fuels to electricity and electric power is transitioning from natural gas and coal to intermittent renewables like solar and wind backed by microgrids and storage.
To achieve a net-zero future, worldwide clean energy investment will need to more than triple to more than $4 trillion per year by 2030 with the percentage of electricity generated by solar and wind rising from 10% today to 70% by 20501.
Energy accounts for 76% of global CO2 emissions while electricity and heating alone account for 32%. In advanced economies like the U.S. and Europe, the power industry is also one of the largest consumers of water.2
A Digital Grid
Computing will play three key roles in the energy transition
1. Efficiency. IoT, AI, and other technologies will boost the overall efficiency of appliances, equipment, and other devices. While embedded processors have been employed for years, newer technologies for fine-tuning these systems are still relatively new: only 10% of fixed industrial machines installed in 2020 were IoT-enabled.3
2. Dynamic Control. Efficient appliances will be linked through building management systems and smart grids to service providers that unobtrusively balance power loads in real-time to lower costs, eliminate unnecessary consumption, and ensure comfort and security. Decarbonization can't happen without digitization of the grid.
3. Improving Renewables and Power Plants. Hardware and software can also increase power output of wind and solar while cutting downtime and cost as well as reduce emissions at fossil plants. Renewables will be a rich source for data for AI: 1 GW of solar produces 40x more data than 1GW of fossil fuel plants.
Edge Impulse: A Safer Grid Through AI
Electrical grids have been called the largest and most sophisticated machines ever devised, daily delivering electricity to millions of customers in real time across service territories that can span entire countries.
But grids also have their limitations. Utilities, for instance, typically learn about faults and outages the old-fashioned way: by a phone call from a worried customer.
The Symptom Before the Spark
The RAM-1—an intelligent grid sensor being developed in collaboration between Arm software partner Edge Impulse, research institute IRNAS, and equipment manufacturer Izoelektro—seeks to change that. The RAM-1 monitors and analyzes voltage surges and other parameters on live power lines in real-time to warn emergency employees about potential fires or emerging dangers.
Specifically, the device analyzes electrical waveforms on an ongoing basis. If the AI algorithms on the device detect an anomaly, data from the select event is sent to the cloud for further classification. If a problem is indicated, warnings are relayed to control rooms and field crews.
The system can also be used to optimize the distribution of power and reduce losses.
High Intelligence, Low Power
Although the inference engine continuously monitors activity, the RAM-1 uses little power by keeping analysis at the edge. Powered by a Nordic Semiconductor processor based on the Arm Cortex-M33, the system can last 20 years on a single battery. Low power consumption is possible due to the Arm-optimized Edge Impulse machine learning models, which are orders of magnitude lower than the energy used in standard ML applications.
Over time, the AI analysis that is running on the device results in the longest and most efficient battery life.
Enphase: Solar, Storage, and Silicon
Enphase was founded in 2006 on a simple, but powerful, idea: that the performance and value of solar could be greatly enhanced with digital technology.
The company transformed residential solar with the microinverter, a device that boosts the output of solar arrays by up to XX% by adding intelligence and control to individual solar panels. The custom chip inside its microinverters, based on Arm Cortex designs, also communicates with cloud applications from Enphase for better performance and maintenance.
Over 36 million Enphase microinverters have been installed on 1.5 million homes in 130 countries, offsetting more than 20.8 million metric tons of CO2.
Enphase is now transforming energy storage and home management with Ensemble, a system that effectively forms a microgrid around a home or building. On peak power days, consumers can help utilities avoid burning fossil fuels by selling it clean power from its storage system via Ensemble: some customers in New England already qualify for up to $1,000 a year in payments through Ensemble. During blackouts or natural disasters, Ensemble can “island” homes to keep the power on. Homeowners can also prioritize appliances to control loads and consumption.
Because of the fast response time of the Arm-based Swift microprocessor from Enphase used across Ensemble, Enphase storage systems don’t require as much battery capacity, further accelerating the storage market.
Span: A Nervous System for the Sustainable Home
The electrical panel—the grey metal box likely in the corner of your garage—has been a fixture in homes for nearly 100 years. It’s getting a makeover.
Span, a startup from Silicon Valley, has developed a smart panel with integrated edge computing capabilities for greater visibility and control over power consumption.
Powered by an Arm Cortex-A processor from NXP, Span’s smart panel lets residents remotely turn off lights and game controllers or develop a long-term, automated savings strategy. It can also inform homeowners through its smartphone app when water heaters or air conditioners show symptoms of pending failure.
More importantly, Span provides a glide path to zero emissions living. The system can manage EV charging to match the power output of a home solar system, sell power from a battery storage system to a local utility so it can avoid turning on a dirty “peaker” plant, or improve resilience by "islanding" a home during blackouts or natural disasters.
Replacing gas-powered water heaters or stoves with cleaner electrical fixtures also becomes more feasible and economical. Span ensures a home has adequate capacity and eliminates wiring retrofits.
Green Mountain Power in Vermont is currently collaborating with Span to study how making data more readily available to consumers changes power consumption.
25 million people endured power outages in the U.S. lasting 15 hours on average in 2020. Span's smart panel micromanages power to keep homes online.
Awesense: An Ecosystem Approach to Energy
Founded in 2009, Awesense is decarbonizing the grid with data.
It developed a solution—adopted by utilities such as BC Hydro—that combined an Arm-based line sensor and software for detecting faults and electricity theft.
Today, its Digital Energy Platform serves as the data curator for software, hardware, and services targeted at the energy transition. The focus is on the distribution grid: the complex web that links cities and customers to power sources.
The company’s goal is to reduce emissions by 10 million tonnes by 2022 and 100 million by 2025.
“The grid needs data and there’s not a lot of visibility into distribution,” says founder and CEO Mischa Steiner.
The company is collaborating with Doosan GridTech and Washington’s Snohomish Public Utility District to maximize renewables in microgrids and leveraging EVs as a peak power supply.
It is also working with cities and service providers to develop long-range capacity plans for EVs by identifying areas needing upgrades or that have excess capacity.
Other ecosystem partners include Peak Power, which provides energy management services for commercial and industrial buildings, and Rainforest Automation, which has created an edge gateway for controlling pool pumps, water heaters, and other appliances.
Digital Energy Platform and the Raptor 3 sensor
Pervasive Computing = Pervasive Efficiency
Homes and commercial buildings account for nearly one third of global emissions and, despite substantial progress, buildings aren’t particularly efficient. The U.S. EPA estimates that 30% of energy delivered to commercial buildings gets wasted because of insulation gaps, unmonitored lighting, vampire appliances, and other chronic headaches1.
By 2050, the global stock of floor space is expected to double.2 Air conditioning is also on the rise: left unchecked, cooling will consume as much power in 2050 as China and India do today.3
New building codes and technologies will be needed. Success will also require minimizing disruption and cost while implementing safeguards for privacy and security.
Digital decarbonization for buildings is largely focused on three areas:
Improving or replacing existing appliances and fixtures. Natural gas, which heats 85% of homes in the U.K., will be phased out in favor of electric heat pumps starting in 2025.
Deploying AI, IoT, and cloud and edge services to precisely monitor and manage lights, HVAC, and other energy-consuming fixtures.
Installing microgrids, energy storage, and renewables. Universities have become early incubators for microgrid deployments.
Lenovo is experimenting with 5G microcells built around Arm-based silicon for controlling building functions such as security, energy management, and health & safety. Lenovo is also testing 5G for optimizing factory production.
Smart Buildings: Johnson Controls
OpenBlue from Johnson Controls reinvents how buildings operate by using AI and specialized processing to dynamically monitor built environments for cost, emissions, and comfort.
"It means a seamless experience from the moment you park on-site, all controlled through intuitive interfaces and digital twins rather than one application for HVAC and another for CCTV," explains Trent Swanson, Vice President of Architecture at the company.
It is also a complex computing task. To optimize energy, a central utility plant on an office campus may have to sift through up to 1,200 variables, including seven-day weather forecasts, hour-ahead energy prices, hundreds of internal control settings, campus activities, and fluctuations in building occupancy. Creating collaborative workspaces that can reduce health risks will require sensors for monitoring indoor traffic, AI for space utilization, and intuitive interfaces that need little training.
With Arm, Johnson Control is exploring ways to deploy sensors, AI, digital twins, and cloud-to-edge connectivity to improve visibility, enhance safety and create an environment that delivers both a better return on investment for owners and a better experience for people and visitors.
Smart Appliances: Arçelik
Refrigerators are the second largest consumers of electricity in homes, accounting for up to 7-13% of the total. While manufacturers have achieved steady efficiency gains since 1990, current technologies are reaching a plateau. Power-saving alternatives such as better vacuum insulation panels could add 30% to retail prices.
Arm partner Arçelik, a global appliance manufacturer, is adding AI to standard refrigerators – using their existing computing resources – to conserve energy. The company developed a lightweight Reinforcement Learning (RL) algorithm for Arm Cortex-M processors that analyzed in-home behavior – not reams of training data – to balance compressor speed thus reducing power consumption and continually adjusting for the residents' daily patterns.
It found such a system could reduce power by up to 10% without adding to the bill of materials. Deployed across refrigerators in Europe, it could save enough power to shut nine small coal-powered power plants.
Arçelik is also looking into ways to leverage AI to improve industrial and commercial refrigerators.
Waste Not: Arçelik also found RL could keep food fresh around 10% longer by moderating temperature fluctuations. Approximately one third of food gets wasted annually. If food waste were a nation, it would rank third in GHGs (8% of the total) and consume water equivalent to the annual discharge of the Volga.4
The Future: Smart Cameras on a Sustainable Edge
770 million surveillance cameras have been installed worldwide with revenue expected to grow at 13% annually through 2025.5,6 Computer vision and AI are increasingly being added to these cameras to improve city planning, supplement elder care and reduce traffic.
But smart cameras also create a carbon problem. A 1080p smart camera operating at 30 frames per second can generate 2GB of data per hour7 or 17.5TB per year. 770 million can cameras would generate 1.35 zettabytes, not including the data generated by deeper AI analysis. By conducting AI at the edge, power can be cut by 42%.8
|12 Months of Use
||AI in the Cloud
||AI at the Edge
|Camera (gCO2 eq)
|CO2 avoided over 770M cameras
||19.2M metric tons. (4.2M cars eq.)
Smart Buildings: Johnson Controls HOLD FOR NOW
The OpenBlue solution from Johnson Controls improves the sustainability and human experience of buildings by dynamically monitoring built environments for cost, emissions, and comfort in real-time.
OpenBlue can reduce energy and maintenance spend by up to 30% and 20% respectively while increasing space utilization by up to 10% while also substantially reducing the risk of infection.
Keeping track of buildings, however, is also a complex computing task, which is why Johnson Controls is collaborating with Arm. Click the icons to see how Johnson Controls and Arm can leverage specialized processing and AI to track the thousands of variables to create the workplace of the future.
More Performance, Less Power
There are nearly 230,000 datacenters worldwide containing 14 million server racks. Since 2013, operational floor space has more than doubled1 Datacenter workloads and internet traffic, meanwhile, grew by 8x and 12x respectively in the past decade.
What hasn't grown is energy. Datacenter power rose by only 6 percent from 2010 to 2018 and currently represents 1-2% of global consumption.2
Datacenters are also decarbonizing other industries: the 7% decline in 2020 emissions partly came through replacing travel with videoconferencing.3
But without continued improvement in performance per watt, power consumption could rise, increasing cost, emissions, and regulations.
A Sustainable Shift: Hyperscale cloud providers can shift workloads to regions with cleaner, cheaper power while minimizing performance impacts. Above, moving a VM from Sydney to Taipei cuts carbon from 6 to 4 grams and cost from 95 to 80 cents while adding only 13 ms to latency. (Source: 451 Research.)
The Next Frontier: Specialized Processing
How did power stay flat for a decade? Moore's Law, workload consolidation, and better cooling strategies increased the amount of work performed by datacenters per unit of energy at a regular, rapid cadence.
Unfortunately, many of these techniques are approaching limits. Leading hyperscale datacenters now post Power Use Effectiveness (PUE) ratings below 1.1, meaning little power goes to cooling. Meanwhile, capacity in multitenant datacenters is expected to grow by 8% through 20261.
Specialized processing--purpose-built CPUs, GPUs, DPUs, and other specialized processors that optimally allocate workloads--provides a way to continue to increase performance while reducing power, emissions, and cost.
A Cleaner Cloud. Servers based on Arm Neoverse can perform 33% to 64% more work (SpecINT 2017) while generating 30% to 42% percent fewer CO2 emissions than servers using equivalent traditional processors.4 Deployed broadly, Neoverse could increase cloud capacity by 25% or more by 2030 without increasing energy.5
Cloudflare: Removing Carbon in the Cloud and Edge
Cloudflare provides security and internet optimization services to companies such as Lending Tree, Garmin, L'Oreal, NCR, and others. More than 1 in 6 websites around the world rely on its services and infrastructure.5
As part of its environmental efforts, Cloudflare has developed technology to reduce the impact of bots on database requests coming into their customers and helped customers reduce redundant web crawling and re-indexing. It also designs its own servers for better performance.
It has also begun to provide services on Cloudflare-designed servers running Arm Neoverse-based processors from Ampere Computing. Cloudflare has found that Neoverse can process 57% more Internet requests per watt than their most recently deployed generation of edge servers running traditional processors. Neoverse also outperforms the most recently released traditional processors.
With Neoverse, Cloudflare can process 10 times more requests than it could with its 2013 servers.6
Cloudflare Nitin Rao discusses how Cloudflare is deploying Arm Neoverse in it's 11th generation of servers.
Specialized Processing in Action
Innovative chips and systems from Arm partners are reducing carbon while achieving unprecedented levels of performance.
Created by RIKEN and Fujitsu and containing nearly 8 million Arm-based processors, Fugaku is the world’s most powerful supercomputer. It is being used to simulate extreme weather, develop COVID-19 vaccines, and other tasks.
Single-threaded, multicore Central Processing Units (CPUs) optimized for the cloud, such as AWS's Graviton2, have helped customers increase work per watt by 30% or more while simultaneously reducing costs by 20% or more.
Delivering 3x better performance and 4x better performance per watt than its predecessor, Marvell's Octeon 10 Digital Processing Unit, based on Arm Neoverse N2, will bring leading performance to 5G and edge applications.
A Bumper-to-Bumper Transformation
Transportation accounts for approximately 24% of worldwide and 29% of U.S. emissions and stands as one of the most difficult challenges to moving to a net-zero carbon world.
A primary tool for cutting emissions, Electric Vehicles (EVs) have grown rapidly, thanks in part to a rapid decline in battery prices, pro-EV policies, and improvements in driving range, performance, and customer choice. By 2025, 40 million EVs should be on the road, according to 451/S&P Global Intelligence.1
Still, that represents only a fraction of the world's 1.2 billion vehicles. To achieve net-zero goals, zero-emissions vehicles will need to account for over 80% of car, bus, and light-duty truck sales by 2040.2 Step changes in performance, cost, and automotive electronics will be needed.
EVs will also fuel massive grid upgrades. EVs consumed 6 terawatt-hours (TWh) of electricity in 2016. By 2040, they will consume 2,090 TWh, or roughly half of the capacity of the U.S. today3. Cloud and edge applications for dynamically balancing charging with renewable capacity will be vital.
The new and improved e-powertrain provides the latest Nissan LEAF model with 110 kW of power output and 320 Nm of torque. The newly developed inverter has enabled an improvement in vehicle acceleration and has had a positive impact on driver experience.
These improvements have been made possible with the new power module which has increased the motor drive current. It features an Arm core processor, the Cortex-R4, and the latest control technology to increase efficiency and output – enabling approximately 1.3 times more torque and power than the previous Nissan LEAF.
In controlling the inverter, the Arm-based microcomputer core accurately repeats a series of processes such as sensing, calculation, and control output for the events that occur in 1/10,000 second cycles. Nissan found that the Arm Cortex-R family of cores was the right choice due to its efficient performance and responsiveness enabling it to dependably deliver the precise control needed within such a tight computation window.
Smart City Meets Smart Vehicle: Better Traffic Control with NXP and Arm
EVs, hybrids, and other vehicles will become vital nodes on smart city networks. With driver consent, utilities will be able to orchestrate EV charging over large geographic areas, for example, to avoid firing up dirty peak power plants.
Data sharing will also help drivers and transportation officials reduce the emissions, energy consumption, and lost time caused by traffic congestion. Before COVID-19, U.S. drivers on average lost 99 hours a year in traffic, generating millions of tons of excess emissions. And for residents of growing megacities like Bogota and Istanbul, it is even worse with drivers stuck up to 190 hours a year moving at 20 kph or slower.4
Built around Arm-based processors from NXP, Intelligent Roadside Units (see video) are edge devices that analyze data from cameras, radar, and other sources in near real-time to improve traffic and safety locally. Data can also be shared with the cloud to help regional traffic flow and/or long-term planning efforts.
Arm is also working with Argonne National Labs on combining urban data to reduce traffic and improve air quality.
EVerBendy: In-Depth Intelligence for EVs with Flexible Processors
Major technological strides are needed to accelerate EV adoption, particularly in emerging economies. And one of the most critical areas for innovation will be the battery management system or BMS.
A real-time computing system, the BMS actively manages charging, discharging, voltage, and other parameters inside a battery pack. It also directly impacts performance, cost, and customer satisfaction: through precise management, a BMS can extend a car’s driving range, help maintain its performance, and extend its lifetime.
A CPU for Every Cell
Today’s BMSes monitor activity at the battery module level. EVerBendy, an experimental flexible chip being developed by Arm and automotive partners, would permit carmakers to wrap energy-efficient processors around every cell in a module, expanding the computing footprint from tens of nodes to potentially thousands of processors running ML.
Pervasive processing could further improve vehicle range and lifetime. It could also reduce charging time and--more importantly--prevent fires and other hazards. By monitoring for escaping gases or cell deformation during charging with EVerBendy, a BMS could take action at the first sign of a problem.
EVerBendy is in the R&D phase, but if it continues to develop, Stellantis wants to open source the technology to further accelerate the market.
Bringing brilliant people together to spark the world's potential
Wherever Computing Happens
Arm designs technology building blocks such as Central Processing Units (CPUs) and Graphics Processing Units (GPUs) that semiconductor designers, equipment manufacturers, and others use to create silicon chips and specialized compute systems to power a host of devices, applications, and services across global markets.
Our partners have used our technology to enable the mobile revolution, make vehicles safer, drive down the cost and emissions of data centers, and connect individuals and businesses in new, exciting ways.
With billions of transistors and specialized subsystems operating at extreme speeds, processors remain some of the most complex devices ever produced. By leveraging Arm's proven intellectual property, our partners can get to market quickly and reliably, delivering secure, unique system-on-chip (SoC) products that meet any performance need.
From One, Many: The Arm Cortex-A53 is one of our most popular CPUs. Semiconductor companies such as Qualcomm, Samsung, MediaTek, and NXP have adopted it to create a broad spectrum of entry-level, mid-range, and high-end SoCs.
These SoCs in turn have served as the foundation for smart speakers, computer vision systems for buildings, gaming controllers, a handheld for detecting bacteria in water for emerging nations, a device that lets cars park themselves, and billions of IoT devices and smartphones.
Driving Down Energy Consumption, Everywhere -ALT
Efficient AI. Cambridge Consultants achieved a 1,000x speed increase and a 7x power reduction in endpoint AI using Arm Cortex-M55 and Arm Ethos-U55.
Internet Everywhere. Triffid, an experimental chip at Arm, runs on power harvested from RF frequencies. Potentially, Triffid chips will boost recycling and reduce food waste.
Better Infrastructure. Data Processing Units (DPUs) with Arm technology such as NVIDIA's Bluefield-3 can replace up to 300 traditional processor cores.
M0N0. An R&D project with DARPA, M0N0 can perform ML tasks like voice recognition on a few milliwatts for traffic analysis or environmental monitoring.
Driving Down Energy Consumption Everywhere-ALT
Every day, around 70 percent of the world’s population uses Arm technology. This puts us in a unique position to help our ecosystem drive down energy consumption everywhere – from the tiniest chips to the largest data centers.
Internet Everywhere. Triffid, an experimental chip at Arm, runs on power harvested from RF frequencies. Potentially, Triffid-like chips will perform broad-based tasks like boosting recycling rates or reducing food waste.
Better Infrastructure. Data Processing Units (DPUs) optimize networking and other tasks in datacenters and networks. Containing 16 Arm CPUs, NVIDIA's Bluefield-3 can replace up to 300 traditional processor cores.
An Inventive Ecosystem
An ecosystem of hundreds of innovative partners has made Arm technology pervasive worldwide. Because of their efforts and ideas, Arm technology can be found inside of everything from TV remote controls to supercomputers, satellites, and cutting-edge medical devices. Since 1991, over 190 billion Arm-based chips have been shipped.
The extended ecosystem includes Fortune 500 companies, cloud native developers, freshly minted startups, national laboratories, and technology distributors across the globe.
Arm also fosters close relationships with semiconductor foundries and EDA developers to help ensure that our designs can be smoothly transitioned to products.
Our Vision: 1. IPCC. 2. World Economic Forum and Exponential Group.
Electricity: 1. IEA: Net Zero by 2050; 2. European Environmental Agency and USGS. 3. Omdia. 4. Renewable Energy World.
Buildings. 1. U.S. EPA and Dept. of Energy. 2. Programme for Energy Efficiency. 3. IEA: The Future of Cooling. 4. Food and Agriculture Organization of the UN, UNEP. 5. Comparitech, IHS (770 million). 6. IDC ($50 billion, 13% CAGR) 7.. Makeuseof.com (2GB). 8. Arm calculations. We assumed the 20 cameras would run 18 hours for an entire year. Dynamic transmission draw for the cloud-centric setup is at 0.018 kw while the draw for the smart edge camera is .000001 kw with identical Wi-Fi hardware: the difference comes in the larger amount of data sent via the cloud case. Device power draw for the cloud-dominant camera is 0.01 kw while the smart camera draw is 0.25 kw. Carbon calculations are based on the U.S. average power mix.
Datacenters: 1. 451/S&P Arm report. 2. Science. 3. Univ. of East Anglia, Univ. of Exeter, Global Carbon Project. 4. Arm calculations. The power draw of the Arm processor is 284.4 watts. The power draw of the competition processors in the calculation is 336 and 388 watts, respectively, based on publicly available documents. The SpecInt ratings are based on Arm benchmark testing. We assumed one instance and 2 CPUs per instance running for a month in similar datacenters. Carbon calculations are based on the U.S. average power mix. 5. Cloudflare. 6. Cloudflare.
Transportation. 1. 451/S&P Arm report. 2. Bloomberg New Energy Finance. 3. BNEF (6TWh) 451/S&P Global Market Intelligence (2090 TWh), Arm estimates. Inrix Global Traffic Scorecard.